Hadoop Developer Resume Samples

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NB
N Batz
Nikolas
Batz
78958 Sylvia Village
Detroit
MI
+1 (555) 819 8588
78958 Sylvia Village
Detroit
MI
Phone
p +1 (555) 819 8588
Experience Experience
09/2016 present
Houston, TX
Senior Hadoop Developer
Houston, TX
Senior Hadoop Developer
09/2016 present
Houston, TX
Senior Hadoop Developer
09/2016 present
  • Manages maintenance of applications and performs technical change requests scheduled according to Release Management processes
  • Provide L0/L1/L2/L3 development effort
  • Work to tight deadlines and provide regular progress updates against agreed milestones
  • Proactively, initiate, develop and maintain effective working relationships with team members. Coordinate with all team members, including 3rd party suppliers
  • Collaborate with other teams including Software Developers, Data Scientist, and Data Warehouse Developers
  • Work in Agile Scrum process
  • Create High Level Design and detailed design documents with support of architects for the assigned scope items
02/2011 04/2016
Houston, TX
Java / Hadoop Developer
Houston, TX
Java / Hadoop Developer
02/2011 04/2016
Houston, TX
Java / Hadoop Developer
02/2011 04/2016
  • Directly impacts the business by ensuring the quality of work provided by self and others; impacts own team and closely related work teams
  • Design and develop framework components
  • Work on design, development of complex applications using various programming languages and technologies
  • Full Software Development Lifecycle
  • Providing expertise in technical analysis and solving technical issues during project delivery
  • Monitor implementations to help ensure adherence to established standards
  • Perform analysis of large data sets using components from the Hadoop ecosystem
01/2005 12/2010
Phoenix, AZ
Hadoop Developer
Phoenix, AZ
Hadoop Developer
01/2005 12/2010
Phoenix, AZ
Hadoop Developer
01/2005 12/2010
  • Develop best practices for developing and deploying Hadoop applications and assist the team to manage compliance to the standards
  • Execute change management activities supporting production deployment to Developers, Quality Control Analysts, and Environment Management personnel
  • Design, plan, and develop programs to perform automated extract, transform and load data between data sources when working with large data sets (TBs+ range)
  • Work with the application team to design and develop an effective Hadoop solution. Be actively engaged and responsible in the development process
  • Create and execute unit tests and perform basic application testing
  • Provide work guidance or technical assistance to less senior engineers
  • Developing and testing workflow scheduler job scripts in Apache Oozie
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Towson University
Bachelor’s Degree in Computer Science
Skills Skills
  • Be able to design scalable, configurable, maintainable for complex business problems
  • Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design
  • Writing high-performance, reliable and maintainable code
  • Strong knowledge on Data Warehouses, RDBMS and MPP database skills, including query optimization, and performance tuning
  • Strong knowledge on batch and streaming data sources with structured and unstructured dataSearch Jobs US
  • Good understanding and working knowledge of any Application Server
  • Good understanding and working knowledge of SOA architecture and its related technologies
  • Deep knowledge and strong deployment experience in the Hadoop and Big Data ecosystem - Hadoop, Flume, Hive, HBase, Pig, HDFS, MapReduce, Linux, etc
  • Good knowledge of database structures, theories, principles, and practices
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
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15 Hadoop Developer resume templates

1

Hadoop Developer Resume Examples & Samples

  • Good understanding of distributed systems
  • Good understanding of computer systems
  • Core Java 6/7
  • Hadoop ecosystem: HDFS/HDFS2, HBase, Map Reduce
  • Low latency/High throughput systems
  • Good understanding of Java Garbage Collection
  • Data modelling experience
  • Good understanding of the Big Data paper publications
  • Hadoop ecosystem: Spark, Impala, Cassandra, Parquet, Mesos, Yarn, Hive, Pig, Sqoop
  • Avro/Protocol Buffers
  • Actor model - Akka or other
  • Tibco, Solace or other messaging framework
  • Cloud computing
  • Python/Scala/R
  • RDBMs
  • Relational Algebra
  • TCP/IP
  • Distributed Caching (Gemfire, Coherence, other)
2

Senior Hadoop Developer Financial Data Infrastructure Resume Examples & Samples

  • 5+ years of Java programming
  • Experience with Hbase/NoSQL or similar technology
  • Experience with Oozie, Zookeeper, Flume, Solr, ElasticSearch, Storm, or Spark is a plus
  • C/C++ programming experience is a plus
  • Strong problem-solving and communication skills and enjoys a collaborative enviroment
  • Experience with enhancing and maintaining mission-critical software in a fast-paced environment is a plus but not necessary
3

Hadoop Developer Resume Examples & Samples

  • The person will be a key part of the development team to deliver the Uncleared IA margin program, working on best of the breed Big Data technologies on our strategic big data platform (using Hadoop, Spark, Hive, PIG Scripts etc) and building workflow components in C# server process to load data, interface with multiple system in the bank and write data to a Hadoop datastore
  • This is an exciting opportunity for someone with the correct skills and attitude to work with big data platforms technologies such as Hadoop
  • The role is part of a R&A VaR Function delivering cross-asset VaR metrics to meet regulatory uncleared IA requirements for adequate risk and margin management
4

Data Warehouse Hadoop Developer Resume Examples & Samples

  • Strong hands-on production level experience architecting and developing within the Hadoop ecosystem (HDFS/MapReduce) 3+ years on Hadoop required
  • Experience with Hbase/NoSQL or similar technologies
  • Experience with Oozie, Zookeeper, Pig, Storm, Spark or similar technologies
  • Experience with message brokers, such as Rabbit MQ, Kafka, or similar technologies
  • Experience programming in a Unix/Linux environment, including Java, C++, Python and shell scripting
  • Demonstrated experience and ability to deliver results quickly and correctly in a fast-paced environment on multiple projects
  • Strong trouble-shooting and problem-solving skills with a logical and pragmatic attitude
  • Team player with strong oral and interpersonal skills
5

Java / Hadoop Developer Resume Examples & Samples

  • Enterprise messaging technologies
  • Concurrency, Multithreading
  • Build and Continuous Integration tools
6

Hadoop Developer Resume Examples & Samples

  • Partner with the solution vendor and other CS IT groups to design and develop technical solutions across the Vantage scope including
  • ETL pipelines to manage the input data sets through to the data analysis tools
  • Data modelling and analysis
  • Batch and processing controls to ensure that the analysis is operating on complete and accurate data sets
  • System health, monitoring and housekeeping tools
  • Statistical analysis and data profiling
  • Reports / Dashboards for Front Office CCO, trading supervisors and shared services staff with responsibilities for Unauthorised Trading surveillance
  • Ensure that all technical deliverables are aligned with the solution architecture & design and meet the functional and non-functional requirements
  • Champion good practice and techniques; contributing to improve the team’s technical & delivery capability
  • Ensure the traceability of requirements to solution is maintained through the development lifecycle
  • Where appropriate provide subject matter expertise to support the development and validation of other project deliverables across the team
  • Experience of integrating vendor applications into an enterprise
  • Have experience of agile application development
  • Problem solving and influencing skills
  • Ability to assimilate large amount of information and make judgments based on specified criteria
  • Ideally have experience in or exposure to technologies such as Hadoop, AVRO, SQOOP, HIVE, PIG, SPARK or alternatively have experience of or large scale data centric solutions
7

Hadoop Developer Resume Examples & Samples

  • Has approval authority for Level I and Level II staff deliverables
  • Has design authority at module level for system design
  • BS degree required in an Engineering or related field and 5+ years' software engineering experience within a medium to large IT organization. 3+ years’ with MS in Engineering or related field
  • 5+ years’ of professional experience in software analysis, development, engineering and support in a large corporate setting
  • 1+ years' Hadoop/Hive/NOSQL
  • 5+ years’ experience with multiple programming or scripting language (Java, JavaScript, SQL)
  • Proficient with 4+ years’ relevant experience in Open Source container, Java platforms
  • Excellent knowledge of n-tiered architecture
  • Ability to communicate complex technical information to less-technical users
  • Ability to perform fit/gap analysis based on requirements
  • Ability to execute based upon directions from senior team member
8

Hadoop Developer Resume Examples & Samples

  • The Hadoop Developer will be a key member of the Bell Business Intelligence Big Data Team and work on the Hadoop platform. The Hadoop Developer will work closely with Hadoop Administrators, Data Scientists, and business stakeholders
  • Experience using and troubleshooting Open Source technologies. (3+ years)
  • Experience using the Hadoop tool set such as Pig, Hive, Map Reduce, Java, etc. (3+ years)
  • And must be a team player and fit well with the Bell Business Intelligence culture!
9

Senior Software Engineer / Hadoop Developer Resume Examples & Samples

  • Overall 5+ years experience designing and developing data analytics and business intelligence applications
  • Current coding experience is expected in role (Open source contributions and/or robust portfolio of shipped code at GitHub)
  • 2+ years development experience in Hadoop ecosystem (MapReduce, HDFS, Hive, Pig, Flume, Sqoop, Oozie, HBase…) with implementation of predictive analytics, machine learning and data mining algorithms
  • In depth knowledge of statistical modeling techniques preferably using R and/or SAS
  • 4+ years programming experience using one or more of Java, Python, C++
  • 4+ years experience using SQL and traditional data warehouses. Experience with Oracle and IBM Netezza highly preferred
  • 4+ years experience developing in Unix/Linux environment
  • Working knowledge of agile development techniques
  • Ability to work independently in a fast pace environment. Willingness to learn new technologies and comprehend unfamiliar data domains and new business processes quickly
  • Prior experience evaluating emerging technologies
  • Prior experience in healthcare IT
  • Ph.D. in Computer Science or related field
  • Relevant certifications in Hadoop, Java, data analytics
  • Working knowledge of Unix/Linux system administration and shell scripting
  • Experience in Natural Language Processing
10

Hadoop Developer / Architect Resume Examples & Samples

  • Bachelor’s degree or equivalent is required and/or Certification in Hadoop Development
  • Minimum of 3-5 years of experience performing data mining, analysis and/or implementing end to end enterprise grade software with a strong focus on Big Data
  • Working experience working with Hadoop/HBase/Hive/MRV1/MRV2
  • Experience working with Pig, Sqoop or Flume is desired
  • Experience designing and supporting RESTful Web Services
  • Experience orchestrating complex data flows
  • Deep understanding and ability to use SQL, XML, JSON and UNIX
  • Experience in integrating heterogeneous applications
  • Demonstrated experience in Java Enterprise ecosystem
  • Knowledge in various Open Source tools and technologies in Java Enterprise ecosystem
  • Demonstrated capability to drive results through effective collaboration
  • Experience working with Systems Operation Department in resolving variety of infrastructure issues
  • Experience working with Apache Spark, Storm, Kafka is desired
11

Foundational Services Senior Hadoop Developer Resume Examples & Samples

  • Expert programming competence in Java
  • Experience with Hadoop/HDFS/MapReduce
  • Experience with HBase/NoSQL or similar technology
  • Experience with Spark, Kafka, Oozie, Zookeeper, Flume, or Storm is a plus
  • Excellent problem solving and communication skills and thrives in a highly collaborative and dynamic work environment
12

Senior Java / Scala / Hadoop Developer Resume Examples & Samples

  • Working with clients in a variety of industries, sectors and specialisms
  • Creating Big Data solutions
  • Designing Big Data architectures
  • Design and develop MR1/YARN applications in Java, Scala or Python
  • Work with data analysts using SQOOP and other ETL tools
  • Support the development of reports on Hadoop
  • Support data modelling and analysis using Hive and Impala
  • Develop Spark apps in Java, Scala or Python
  • Develop HBase apps
  • Design HBase schema
  • Third level degree in Computer Science/Engineering
  • 2/3 years' experience with one or more of the following
13

Hadoop Developer / Engineer Resume Examples & Samples

  • Utilize emerging data technologies such as Hadoop 2.0
  • Create data instances or leverage cloud technologies
  • Perform data mapping
  • Help establish data roadmap and strategies
  • Experience with state of the art data technologies
  • Previous experience in working in high growth, data driven, and/ or innovative businesses preferred
  • Ability to learn quickly in a fast-paced environment
  • Experience with social media platforms a plus
  • Able to work as part of a team, but with creative and individual thinking
  • BS in Computer Science, Math or Engineering desired
14

Senior Java & Hadoop Developer Resume Examples & Samples

  • Overall 10+ years of experience
  • Some experience with Hadoop and ecosystems
  • Must have strong experience with frameworks like Spring 4.0.x, Spring Integration, Spring JMS,Spring AOP
  • Good understanding with Messaging Concepts
  • Good understanding with Core Java Multithreading and Concurrency Concepts
  • Must have strong experience with build tools/frameworks like Maven,build forge,etc
  • Must have strong experience with CI tools like Hudson/Jenkins,etc
  • Experience with oracle sql queries, stored procedures,views,etc
  • Experience working in a Banking and Financial domain would be a plus
  • Experience with Pentaho-kettle is a plus
15

Big Data / Hadoop Developer Resume Examples & Samples

  • Collaborating with key stakeholders including architects, software engineers and project managers to report development progress and escalate issues requiring attention
  • Understanding, navigating and developing with data tools and technologies, including data modelling, metadata management tools, master data management tools, database technologies and design
  • Leading the resolution of end to end data issues, data design issues and end to end data test issues
  • Working with a variety of other information technology disciplines such as Business Analysts, Data Architects, Data Modellers, Enterprise Architects, Platform Architects, Operations and Support
16

Entry Level ETL / Hadoop Developer Resume Examples & Samples

  • Troubleshoot and develop on Hadoop technologies including HDFS, Hive, Pig, Flume, HBase, MongoDB, Accumulo, Tez, Spark, Storm, and Hadoop ETL development via tools such as Informatica, Pentaho
  • Software development in a collaborative team environment using Scrum Agile methodologies, primarily using ETL data ingest/egress frameworks
  • Translate, load and present disparate data sets in multiple formats and multiple sources including JSON, Avro, text files, Kafka queues, and log data
  • Translate functional and technical requirements into detailed design
  • 0-1 years of ETL data integration development and Scrum Agile development
  • Understanding of data warehousing concepts
  • Understanding of RDBMS technologies and SQL language; Teradata and Oracle highly preferred
  • Knowledge of java virtual machines (JVM) and multithreaded processing
17

ETL / Hadoop Developer Resume Examples & Samples

  • 1+ years of ETL data integration development and Scrum Agile development
  • Experience developing in a datawarehousing database
  • Experience with open source management tools (Pig, Hive, Flume, Thrift API, etc.) including participation in the community
18

Engineer, Hadoop Developer Resume Examples & Samples

  • Participate in analysis of data stores
  • 1-2years of ETL data integration development and Scrum Agile development
  • Understanding of versioning, change control, and problem management
19

Senior Hadoop Developer Resume Examples & Samples

  • Test and UAT planning, preparation, execution, analysis and reporting
  • Conduct all activities in accordance to the testing strategy and plan and deliver on its goals
  • Maintain test packs and project documentation; incorporate any additional tests that have been identified following a production incidents
  • Ensure the timely reporting and classification of defects
  • Analyze test results and measuring of KPI’s against defined quality criteria
  • Record and escalate risks and issues as appropriate
  • Ensure adherence to testing best practices and DB testing standards
  • Proactively, initiate, develop and maintain effective working relationships with team members. Coordinate with all team members, including 3rd party suppliers
  • Champion and participate in the activities of the broader QA and Testing community
  • Align to the wider team / group objectives
  • Proven experience in Testing roles and/or leading testing teams
  • High level understanding of financial products, exposure to regulatory testing is desirable
  • Experience in test management and defect tracking tools (ALM - Quality Center)
  • Experience in planning and executing testing across complex interdependent projects
  • Understanding of testing across the full Software Development Life-Cycle
  • Customer and service orientation to support interaction with team resources and clients
  • Performance and productivity oriented to drive toward quality testing outcomes and results
  • Demonstrated ability to deliver results in a multi-cultural, multi-vendor, geographically dispersed team environment
  • Hadoop and Big Data architecture – Java, map-reduce, HBASE/HIVE, Oozy, Pig and other Hadoop eco-systems components
  • Familiarity with Unix
  • Experience with complex test data design
  • Knowledge of SQL (Oracle is preferred)
  • Familiarity with Informatica tools
  • Financial experience, cross product or regulatory knowledge
  • Previous experience of working in Agile methodology
  • Hands on business and systems knowledge gained in a Financial Services environment
20

Senior Hadoop Developer Resume Examples & Samples

  • Measures and analyzes code for quality. Participates in the source code reviews. Software review findings must be resolved
  • Supports Release Deployments into controlled environments
  • 1-2 years Technical Lead experience required
  • 3-5 years commercial development experience, 2 years in Big Data development
  • Software Lifecycle/Programming experience
  • Design Patterns & Frameworks
  • Experience in handling normalized / de-normalized data
  • Must have previous hands on development experience in HADOOP BIG data architecture – Java, map-reduce, HBASE/HIVE, Oozy, Pig and other Hadoop eco-systems components
  • Knowledge of SQL is required, while Oracle is preferred, any other ANSI compliant RDBMS acceptable
  • Working Knowledge of Impala
  • Working knowledge of SPARK
  • Hands on business and systems knowledge gained in a regulatory delivery environment
21

Senior Hadoop Developer Lead Resume Examples & Samples

  • Hadoop development experience in Spark (preferred) / Map-Reduce programming, HDFS, Hive / Impala, Oozie, Sqoop, Flume, etc. Python (preferred) or Core Java programming experience
  • Basic Unix OS skills and Shell scripting. RDBMS (Oracle, Netezza, SQL Server) knowledge for SQL code development
  • ETL experience. Exposure to data analytic tools / languages. Experience with BIG DATA source control management (e.g., SVN) or job scheduling (e.g., Autosys)
22

Hadoop Developer, VP Resume Examples & Samples

  • Bachelor’s Degree from an Accredited University in the fields of Computer Science, Computer Engineering, or other related fields
  • 5+ years in the Financial Services industry
  • 4+ years experience with Oracle, MS SQL, MySQL, or Postgresql databases and constructing data models
  • ETL/ELT solution experience – Informatica, Abinitio, Control-M
  • 7+ years in an engineering role
  • Hadoop, HDFS
  • Hive, Spark, HBase, Oozie, Pig, Impala
  • Java / Scala, Maven, Spring, API, Linux
23

Hadoop Developer Resume Examples & Samples

  • Expertise in building distributed systems, query processing, database internals or analytic systems
  • Expertise with data schema - logical and physical data modeling
  • Predictive analytics experience is a PLUS
24

CAP Hadoop Developer Resume Examples & Samples

  • Responsible for executing software development from conceptual phase to testing phase
  • Responsible for mentoring junior developers
  • A Bachelor’s degree or higher preferably in Computer Science or IT
  • Excellent analytical skills; Proficient in MS Office and able to produce board-level documentation
  • Proven track record of participating in the delivery of credit risk technology solutions
  • Self-starter who sets and meets challenging personal targets; Detailed person, with a big picture outlook
  • Understanding of current technologies employed by Tier 1 Investment Banking Institutions
25

Hadoop Developer Resume Examples & Samples

  • Maintenance of existing systems
  • Providing development estimates and contributing to investment case preparation
  • Collaboration with IT delivery teams and partners, often working as part of a distributed team
  • Research and presentation of ideas contributing to continuous improvement plans
  • Environment management and maintenance
  • Strong analysis, engineering and problem solving ability
  • Hands-on Java and Scala development experience in a range of languages (Groovy, Perl, JavaScript, Python, HTML)
  • Experience of solution architectures across technology platforms: distributed (Linux, Java EE, Spring), Hadoop (Pig, Hive, Spark), Analytics Environments (R, SAS)
  • Experience of working on major programmes across a complex IT environment
  • Change Management and how this applies across all phases in the development cycle
  • Software development lifecycle and methods (traditional and agile)
  • Best practices across the software development lifecycle
  • Performance testing methods and processes - knowledge of tools advantageous
  • Work Experience Required
26

Senior Hadoop Developer Resume Examples & Samples

  • Ensures the viability of IT deliverables. Recommends development options, including design, build/buy, and vendor purchase. Approves the team's technical deliverables. Conducts testing, including functionality, technical limitations, and security
  • Identifies potential solutions, including the cost/benefit of each option. Approves technical solutions proposed by team members. Elevates complex technical issues to IT experts, including architects and vendors. Resolves technical problems discovered by testers and internal clients. Responds to and resolves technical issues in a timely manner. Researches issues and performs root cause analysis
  • Communicates with project manager on a frequent basis. Identifies tasks and issues that may have an impact on service levels or schedules. Provides realistic task and cost estimates. Screens resumes of team members, interviews, makes hiring and assignment recommendations, and writes reviews
  • Maintains current knowledge of IT development methodology, architecture design, and technical standards. Mentors IT staff and identifies training needs. As new standards are instituted, ensures their usage by team members
  • Communicates with other technical leads, IT groups, and clients so they understand the project's technical implications, dependencies, and potential conflicts. Evaluates the impacts of change requests on own/shared technologies and effectively persuades and influences others on ideas
  • Reviews and approves documentation and diagrams created by IT team members (e.g., system specifications). Writes documentation, including technical standards and processes
  • Participates in design, code, and test inspections throughout product life cycle to identify issues. Participates as a technical consultant at other project meetings. Presents technical status and issues at milestone reviews
  • For teams without a BSA, performs this staff member's duties, including interviewing business liaisons to diagram process flows and to write functional requirements. In the absence of the project manager, performs this staff member's duties, including coordinating daily systems analysis and development activities
  • Thoroughly understands and complies with IT policies and procedures, especially those for quality and productivity standards that enable the team to meet established client service levels. Thoroughly understands and complies with Information Security policies and procedures, and verifies deliverables meet Information Security requirements
  • Eight years experience in technical specialty. For development technical leads, includes three years' developer experience
  • Broad knowledge of the financial services industry
  • Expert knowledge of the following technical lead practices and concepts
  • Full product life cycle
  • IT vendor product assessment
  • Migration and integration
  • For development only: Production acceptance (including elevations), data modeling, data sharing, reusable components, and related advanced development practices
  • Expert knowledge of one or more IT platforms
  • See Comments section for the requirements for this posting
  • For development only: Expert knowledge of one or more development tools and programming languages
  • See additional information for the specific requirements for this posting
  • Strong written and oral communication skills, preferred
  • For development only: Expert knowledge of one or more testing tools, performance tools, and scripting languages, preferred
27

Senior Hadoop Developer Resume Examples & Samples

  • Build infrastructure using Hadoop’s core components such as HBase, Kafka, and Hive
  • Build data flows using Hadoop’s components including Oozie, Sqoop, Kafka and Hive
  • Build work flows to accomplish complex tasks such as predictive analytics
  • Proficient with java and restful API development
  • Collaborate with other teams including Software Developers, Data Scientist, and Data Warehouse Developers
  • Work with large, multi-terabyte, data sets data using Hadoop, Hive and SQL
  • Be proficient with MapReduce
  • Be proficient with HBase
  • Have a solid understanding of Hadoop’s infrastructure
  • Work in a collaborative environment
  • Proficiency with Spark
  • Proficiency with Samza
  • Experience with Machine Learning
  • Experience with Click Stream Analysis
  • Experience with Google BigQuery
28

Big Data Hadoop Developer Resume Examples & Samples

  • Provide technical support and consultation for .Net application and infrastructure questions
  • Provides team leadership in areas of specific technical knowledge that is frequently sought out by others with significant experience in a single, complex development environment or across multiple platforms
  • Assist in Providing estimates on break/fix, and problem-management activities
  • Bachelors Degree (or higher) or High School Diploma/GED with 5+ years experience in the IT Industry
  • 3+ years of experience with Big data Hadoop, HIVE, HIVE QL,
  • 3+ years of experience in full Software Development Life Cycle
  • 3+ years of experience batch processing or similar
  • 3+ years of experience with Tivoli Workload Scheduler or similar
  • Experience with UNIX and shell scripting
  • Experienced in handling a team size of 5 - 10 members
  • Developing and maintaining standards, common processes and best practices
  • Outstanding communication and presentation skills working across multiple geographies, business functions and teams
29

Hadoop Developer Resume Examples & Samples

  • Lead the development team by conducting touch-points and ensuring that deliverables are accurately tracked and completed on time
  • Identify, capture and communicate the issues and risks promptly; identify potential crisis and contingency plans; provide support in removing impediments and escalate if encountering road blocks
  • Analyze problems to achieve complete understanding; identify and engage SME’s outside of the immediate team if required
  • Hadoop experience is a must. Especially around Designing, Building, installing, configuring and supporting Hadoop
  • Create a complete Roadmap for Data Lake that will stream in data from multiple sources and enable analytics using standard BI analytic tools on the Data Lake
  • Propose best practices / standards, Maintain security and data privacy
  • Work with the Business Clients directly
  • Hands on experience in writing Pig scripts
  • Hands on experience in Hive
  • Familiarity with data loading tools like Flume and SQOOP
  • Knowledge of Spark will be a big plus
  • Familiarity with tools like HUE/IMPALA
  • Familiarity on Hadoop Infrastructure, installation and setup. The candidate will be required to quickly setup HDFS space for analytics and POCs
  • Experience with Big Data on Cloud services like Amazon EMR (Elastic Map Reduce) on S3 (Simple storage Services) is desirable
  • Worked on Unix shell scripts
  • Bachelor’s Degree in Engineering, preferably Computer Science/Engineering, from a top tier University
  • Excellent communication skills in English language are essential, both written and oral
  • Good knowledge of Project Lifecycle. Familiar with SDLC and Agile methodologies
30

Hadoop Developer Resume Examples & Samples

  • Develop software products by writing, testing, and documenting code
  • Generate technical requirements and processes
  • Provide guidance and training to other functional groups
  • JAVA, HIVE, Storm Developer with 3 years’ Experience
  • Collaborate with security experts to deliver high-impact web-based APIs
  • Implement high-volume data integration solutions
  • Analyze, monitor, and optimize for performance
  • At least 1+ year of Hadoop experience combined with a solid software engineering background
31

Hadoop Developer, Senior Resume Examples & Samples

  • Provide technical and development support to the government client to build and maintain a modernized Enterprise Data Warehouse (EDW) by expanding the current on-premises Hadoop cluster to accommodate an increased volume of data flowing into the enterprise data warehouse
  • Perform data formatting involves cleaning up the data
  • Assign schemas and create HIVE tables
  • Apply other HDFS formats and structure (Avro, Parquet, etc. ) to support fast retrieval of data, user analytics and analysis
  • Assess the suitability and quality of candidate data sets for the Data Lake and the EDW
  • Design and prepare technical specifications and guidelines
  • Ensure secure coding practices are adhered to in all phases of the secure development lifecycle. Be knowledgeable in all NGC Programs HIPAA compliance requirements and proactively address any HIPAA concerns. Become knowledgeable on the HIPAA policies and procedures for the program and ensure awareness of HIPAA breach process
  • Bachelor's degree in computer science or related degree and 15 years of related work experience, Master’s degree and 13 years of experience or 19 years of related work experience to satisfy the degree requirement
  • 2+ years as a Hadoop Developer with hands-on experience Hadoop - Hadoop ecosystem, Java MapReduce, Pig, Hive, Spark, and Impala
  • 3 years of proven experience working with, processing and managing large data sets (multi TB scale)
  • 3 years proven experience in ETL (Syncsort DMX-h, Ab Initio, IBM - InfoSphere Data Replication, etc.), mainframe skills, JCL
  • 3 years of experience in coding shell scripting in Python
  • 3 years of experience with advanced SQL query writing
  • Experience in performing troubleshooting procedures and designing resolution scripts
  • Experience with Mainframe development including Java Batch development, Architectural Design/Analysis and Database development
  • Experience with enterprise scale application architectures
  • Knowledge and experience with application integration, thorough understanding of complex network topologies, solid understanding of system security & risk management
  • Knowledge of a variety of technical tools, methodologies, and architectures as used in the SSA computing environment
  • Knowledge of leading-edge technologies, new methodologies, and best practices applicable to work performed
32

Hadoop Developer Resume Examples & Samples

  • Ensure secure coding practices are adhered to in all phases of the secure development lifecycle. Be knowledgeable in all NGC HIPAA compliance requirements and proactively address any HIPAA concerns. Become knowledgeable on the HIPAA policies and procedures for the program and ensure awareness of HIPAA breach process
  • Bachelor's degree in computer science, or related degree and 6 years of related work experience 10 years of related work experience to satisfy the degree requirement
  • 1+ year as a Hadoop Developer with hands-on experience Hadoop - Hadoop ecosystem, Java MapReduce, Pig, Hive, Spark, and Impala
  • 1 year of proven experience working with, processing and managing large data sets (multi TB scale)
  • 1 year experience in ETL (Syncsort DMX-h, Ab Initio, IBM - InfoSphere Data Replication, etc.), mainframe skills, JCL
  • 1 year experience with advanced SQL query writing and data retrieval
  • 1 year experience in coding shell scripting in Python
  • Must be able to hold and maintain a Position of Public Trust
  • Bachelor's degree in computer science, or related degree and 10 years of related work experience 14 years of related work experience to satisfy the degree requirement
  • 2+ year as a Hadoop Developer with hands-on experience Hadoop - Hadoop ecosystem, Java MapReduce, Pig, Hive, Spark, and Impala
  • 2 years of proven experience working with, processing and managing large data sets (multi TB scale)
  • 2 year experience in ETL (Syncsort DMX-h, Ab Initio, IBM - InfoSphere Data Replication, etc.), mainframe skills, JCL
  • 2 year experience with advanced SQL query writing and data retrieval
  • 2 year experience in coding shell scripting in Python
  • Experience with Linux Administration (Centos and Red Hat)
  • Experience with advanced SQL query writing and data retrieval using “Big Data” Analytics
  • Knowledge of Informatica, Syncsort DMX-h, Ab Initio
  • Knowledge of SSA’s Enterprise Architecture
  • Knowledge of agile methodologies
33

Hadoop Developer Resume Examples & Samples

  • Minimum 6 years experience using Core Java Experience writing Shell scripts in LINUX
  • Hands on experience with Running Pig and Hive Queries
  • Analyzing data with Hive, Pig and HBase Data scrubbing and processing with Oozie. Importing and exporting the data using Sqoop from HDFS to Relational Database systems/mainframe and vice-versa. Loading data into HDFS. Developing MapReduce Program to format the data
  • Teradata SQL Conversion to Hadoop
  • Must have hands on experience with Large Data Warehouses
  • Must have 6+ years of development experience in any of the following RDBMS including ORACLE, SYBASE, TERADATA, NETEZZA,etc
  • Experience developing batch processes
  • Experience in any ETL tools like, Informatica, InfoSphere, TalenD etc
  • Have the zeal to contribute, collaborate and work in a team environment Must have excellent communication skills
  • Should be proficient in Package Configuration
34

Hadoop Developer Resume Examples & Samples

  • This position is for a Hadoop System Design Analyst/Developer to support a large global program
  • Progressive responsibilities in IT, with 4 + years of experience with Hadoop
  • Demonstrated ability to deliver project commitments
  • Experience in all phases of the development lifecycle
  • Must be team-oriented and have excellent oral and written communication skills
  • Good organizational and time-management skills
  • Computer Science
35

Hadoop Developer Resume Examples & Samples

  • Experience with business intelligence projects
  • Experience in supporting continuous improvement by investigating development alternatives
  • Experience with emerging technologies, cloud architectures, security and/or any other Hadoop technologies
  • J2EE experience
  • Experience with in-depth data analysis, data profiling and modeling
  • Knowledge and past experience in Marketing and Sales
36

Hadoop Developer Resume Examples & Samples

  • Help deliver TC BOM Reporting project that replaces BOM QOS utilizing Hadoop technologies
  • Basic UNIX skills, Hadoop technologies (Scoop, Hive etc.), Alteryx, QlikView and Spark
  • Automotive knowledge, advanced Excel knowledge, BOM structures, MS Access, Performance issue resolution Team player, attention to detail, self-motivated, fast learner
37

Hadoop Developer Resume Examples & Samples

  • Sharing ideas and working collaboratively
  • Excellent interpersonal and written/verbal communication skills
  • Leading with minimal supervision
  • Evaluates and implements new initiatives on process improvement and technology projects
  • Total of 7 to 8 years of experience and 2 to 3 years of strong experience in Hadoop
  • Writing high-performance, reliable and maintainable code
  • Good knowledge of database structures, theories, principles, and practices
38

Hadoop Developer Resume Examples & Samples

  • Writing Sqoop scripts to import, export and update the data to RDBMS
  • Candidate should have 8-10 years software development experience
  • Proficiency with Java, Python, Scala, HBase, Hive, Map Reduce, ETL, Kafka, Mongo, Postgres, Visualization technologies etc
  • Understanding of automated QA needs related to Big data
39

Java / Hadoop Developer Resume Examples & Samples

  • Core Java - advanced skills
  • SQL - advanced
  • HADOOP knowledgeable
  • Hbase, Cloudeeva, Apache Phoenix aware
40

Hadoop Developer Resume Examples & Samples

  • Ability to design big data solution components, including data analysis and design, HDFS layout, stream ingestion, data transforms and integration, data quality checks, software deployments, configuration management, automated testing, maintenance, troubleshooting and analytic support
  • Design, plan, and develop programs to perform automated extract, transform and load data between data sources when working with large data sets (TBs+ range)
  • Understand relational and non-relational database design principles, including normalization, de-normalization, and ability to read and interpret source and target systems
  • Provide documentation of requirements in the form of architecture diagrams, data models, source to target mappings, data dictionaries and detailed design documents
  • Maintain developed source code in the repository for all databases and keep all build programs up to date
  • Diagnose and resolve performance issues
  • Responsible for adherence to corporate standards, build process guidelines, maintainability, unit tests
  • Work with Operations group to design and implement maintenance routines, automated monitoring solutions, backup and disaster recovery strategy
  • BS in Computer Science or Information Systems
  • 5+ years’ experience programming in Java or .Net environment
  • 5+ years’ experience working with database platforms in large data environments (TB+)
  • 2+ years’ experience working with non-traditional data platforms: (Hadoop, Cassandra, HBase, Azure, etc.)
  • Production delivery experience in Big Data related technologies Hadoop, Kafka, Flume, Oozie, HBase,
  • Java/Linux
  • Strong understanding of Map Reduce and distributed file system
  • Database design skills including normalization and data warehouse design
  • Performance tuning and optimization
  • Experience in the healthcare industry, a plus
  • Ensuring appropriate and adequate unit test cases are created and enacted
  • Ensuring appropriate and detailed documentation for developed modules
  • Supporting data analysts
  • Estimation and timely completion of tasks
  • Following quality assurance processes
  • Following and enhancing departmental development guidelines
41

Java / Hadoop Developer Resume Examples & Samples

  • Work on design, development of complex applications using various programming languages and technologies
  • Able to work on various technologies such as JAVA, Python, BigData etc
  • Ability to learn new and cutting edge technologies
  • 3+ years of application programming and development experience including but not limited to Java, Python and frameworks like Spring, hibernate, JPA etc
  • Strong knowledge of concurrent and batch processing
  • Experience with multi tier and service oriented architecture
  • Experience / knowledge of BigData and associated technologies is a plus such as Hadoop (HDFS, Yarn, MapReduce), Apache Spark
  • Knowledge of UI Technologies is a plus
42

Senior Hadoop Developer Resume Examples & Samples

  • Develop data solutions with Big Data technologies such as Hive, HBase, Kafka, and Cascading
  • Use Java and J2EE technologies to develop data-oriented applications on Hadoop
  • Implement RESTful web services at scale
  • Perform advanced data operations with HiveQL
  • Design and document data models for use in analytical and front-end applications
  • Design and document API specifications for exposing data to production services
  • Collaborate and work with various stakeholders including engineering managers, architects,and software developers
  • Demonstrate experience working with multi-petabyte data systems
  • Experience developing on Spark
  • Experience with stream processing frameworks such as Samza
  • Knowledge of data science and machine learning tools and practices
  • Experience working in e-commerce and cloud environments
43

Hadoop Developer for the SAP Hana Research & Development Team Resume Examples & Samples

  • Block Placement Strategies in HDFS
  • Resource Management in Yarn
  • Low latency networking
  • Multi-tenancy concepts
  • Distributed Machine Learning algorithms
  • Graph algorithms
  • Very good Doctoral, Master’s or Bachelor’s degree in Computer Science or related fields
  • Contributions to OpenSource projects in the Hadoop eco system (expecially Spark) are a big plus
44

Hadoop Developer Resume Examples & Samples

  • Work on IT project teams
  • Developing projects using Hadoop technologies
  • Analysis, design, programming, testing and implementation
45

Hadoop Developer Resume Examples & Samples

  • Responsible for technical development in Big Data Technology (Hadoop)
  • Understanding the overall purpose of the project and contribute in development, testing and maintenance using Big Data - Hadoop
  • Involved in test phases and work towards early resolution of defects and ensuring permanent fix
  • Detailed Design, development and Implementation of Change Requests (CR) from Business
  • Adherence to Barclays policies and standards
  • BE/MCA with good exposure to the below technical skills
46

Hadoop Developer Resume Examples & Samples

  • Responsible for technical design and development in Big Data Technology (Hadoop)
  • Understanding the overall purpose of the project and contribute in design, development, testing and maintenance using Big Data - Hadoop
  • Effective liaison with GTIS (infrastructure), GTS and other engineering teams
  • Adherence to Barclay’s policies and standards
47

ETL / Hadoop Developer Resume Examples & Samples

  • Coordinating with team to assign tasks and monitor team deliverables to meet project time lines
  • Minimum 8+ years of IT experience in development with regard to Datastage development
  • Experience in development with regard to Big Data Platform in must
  • ETL Tools including IBM Web sphere Datastage 8.x, (Manager, Designer, Director, Parallel Extender/Orchestrate, Quality Stage/Integrity, and Metastage MetaRecon), Datastage Plug-In, Data Mining, OLAP and OLTP
  • Database modeling expertise including the use of Data Modeling tools such as ERWIN and Oracle Designer
48

Hadoop Developer With Data Warehouse Experience Resume Examples & Samples

  • Building an end-to-end solution involving both traditional Enterprise Data Warehouse infrastructure as well as Enterprise Data Lake infrastructure (Hadoop ecosystem)
  • Design and development of data transformation processes and pipelines
  • Migrate data from source systems such as mainframe, RDBMS, files into a data lake solution
  • Translate business requirements into technical artifacts (ETL/ELT processes, etc.)
  • Participate in reference architecture build out of data lake and data warehouse solution
  • Build EDW data models (dimensional) as well as Hive/HCatalog
  • Build role-level security implementation
  • Develop and execute enterprise self-service reporting environment on data visualization tools such as Tableau (served on custom portals built on JavaScript or .NET)
  • In depth experience in Hadoop ecosystem and expert level understanding
  • Strong experience with HDFS, MapReduce, Parquet files, Sqoop, Oozie, Zookeeper, Pig, Hive, Linux OS
  • Strong experience with Dimensional (Star Schema) modeling - preferably on MSFT SQL Server
  • Strong experience with MSFT SSIS
  • In depth experience implementing and using BigData environments - for analytics, storage, integration with other technologies
49

Hadoop Developer Resume Examples & Samples

  • Design, build, and deploy processes to load data (sets and sources) into Hadoop
  • Write code to extract and transform data
  • Troubleshoot production issues with Hadoop
  • Performance tuning and optimization of processes in Hadoop environment
  • Work on Proof of Concepts for Hadoop related vendor tools and processes
  • Hands on experience programming on Hadoop
  • Good experience with SQL databases, creation SSIS jobs and stored procedures
  • Previous experience with Relational Databases (RDBMS) & Non- Relational Database
  • Previous experience in implementation of ETL applications, Data warehousing principles, architecture and its implementation in large environments
  • Analytical and problem solving experience applied to a Big Data environment
  • Understanding and related experience with Hadoop database tools (HBase, Hive, Pig, Sqoop, Hbase and/or Map/Reduce)
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Unix)
  • Hands-on experience with Talend - ETL (Extract-Transform-Load) tools
50

Hadoop Developer / Architect Resume Examples & Samples

  • Manage data strategy and roadmap to influence data and LOB decision making
  • Research technology for application within BB&T to enhance efficiency and value. Build business case for acquiring, integrating and implementing high-value technology and processes for data warehousing, business intelligence and transactional applications
  • Provide thought leadership in the definition and articulation of data architecture technologies, approaches and design
  • Establish strong relationships with key LOB and technology stakeholders and create convergence by demonstrating credibility, empathy and expertise on business and technical issues
  • Partner with IT subject-matter experts to find data (resource) sharing opportunities, ensure that data is easily shared across the enterprise and that business personnel have access to data, as required
  • Help coordinate and prioritize required IT data management initiatives among LOBs
  • Help define and establish a data governance process to include enterprise business data governance, business data definition and data conformance that will develop and monitor the governance policies required to ensure data integrity
  • Participate in architecture reviews of applications as part of the project lifecycle. Ensure that data governance processes are established and integrated in existing systems as well as in the formation of new and revised systems
  • Six years of experience in Java
  • Very strong in core Java with hands-on experience in multiple projects
  • Extensive experience in multiple technologies from the below will be considered as a strong advantage:- Java frameworks such as Struts, Spring MVC, ORM tools like Hibernate, SOA implementations, JSON/XML integration
  • Solid understanding of Mapreduce framework, interfacing with NoSQL databases such as HBase (and/or MongoDB, Cassandra etc.), familiarity of data integration using Kafka, Spark and/or Storm
  • Experience with Hadoop ecosystem tools such as Sqoop, Flume, Hive, Pig, Solr
  • Knowledge of Application Server products like Tomcat, JBoss etc
  • Practical understanding of Design Patterns
  • Experience or familiarity with Scala, Python, R is considered a plus
  • Experience with Linux (Shell scripting, developing on Linux etc.)
  • Experience with automated builds and continuous integration (tools such as Maven, Jenkins etc.)
  • Knowledge of Scrum and Agile methodologies
51

SQL & Hadoop Developer Resume Examples & Samples

  • Third-party product integration (installation, configuration and customizations)
  • System and data analysis, architecture, and design
  • Software development, configuration and customization
  • Work with Project Managers, Business Analysts, Business client and other technical teams to design, implement, test and maintain back-end tax processing solutions
  • Define new product features in conjunction with product management, and provide specification
  • SQL Development and data modelling, ideally in a Sybase or MS SQL environment
  • Windows and Linux scripting
  • Hands-on software troubleshooting
  • ETL applications such as Informatica or Pentaho
  • Database reporting applications, such as Business Objects
52

Hadoop Developer Resume Examples & Samples

  • Programming experience with MapReduce/HDFS/Pid/Hive/Hbase is desirable
  • 1 + years of experience in one or more of the following EAI concept tools
  • Messaging protocols such as TIBCO or MQ-Series
  • ETL tools: Informatica, DataStage, Attunity, AbInitio, Teradata Utilities
  • TCP/IP Sockets based protocols and network programming
  • J2EE, .net (networking, physical design, performance, programming)
  • Application Servers: JBOSS, Weblogic, Websphere
  • Web Servers: Apache, Tomcat
  • 1 + years of applications development and architecture utilizing the following
  • Java, C, C++, C#, Perl, PHP, Python, UNIX shell, SQL, HTML, etc
  • Requirements based methodologies
  • 1 + years of experience in one or more of the following operating systems and databases
  • Operating Systems: Windows, LINUX, UNIX and MVS (two or more required)
  • Data Bases: Teradata, DB2, PostGreSQL, MySQL, Oracle (one or more required)
53

Senior.hadoop Developer Resume Examples & Samples

  • Excellent technical and organizational skills
  • Minimum 7+ years of IT experience development with regard to Big Data Platform in must
  • Java is preferable and also should have UI experience
  • Flair for data, schema, data model, how to bring efficiency in big data related life cycle
54

Hadoop Developer / Analyst Resume Examples & Samples

  • Develop solutions for key business initiatives ensuring alignment with future state analytics vision
  • Engage constructively with project teams to support project objectives through the application of sound architectural principles
  • Develop and validate that the proposed solution architecture supports the stated & implied business requirements of the project
  • Utilize statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers
  • Designs experiments, test hypotheses, and build models
  • Develop solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
  • Propose innovative ways to look at problems by using data mining
  • Validate findings using an experimental and iterative approach
  • Communicate and present findings, orally and visually in a way that can be easily understood by their business counterparts
  • Summarize and present findings; adjust the content and level of detail to appropriate level of the audience
  • Use strong business, problem solving skills and programming knowledge to quickly cycle hypotheses through discovery
  • Work closely with clients, clinicians, data stewards, and other business and technology leaders to frame problem definition and potential solutions
  • 1+ year Hadoop environment development experience
  • Experience working on Big Data tools (for example: Hadoop, Hive, Spark, Pig, Splunk etc.)
  • 2+ more years of experience working with multiple projects through the entire SDLC
55

Senior / Lead Hadoop Developer Resume Examples & Samples

  • Responsible for design, development and delivery of data from operational systems and files into ODSs (operational data stores), downstream Data Marts and files
  • Troubleshoot and develop on Hadoop technologies including HDFS, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as Informatica,
  • Will implement quality logical and physical ETL designs that have been optimized to meet the operational performance requirements for our multiple solutions and products, this will include the implementation of sound architecture, design, and development standards
  • Has the experience to design the optimal performance strategy, and manage the technical metadata across all ETL jobs
  • Responsible for building solutions involving large data sets using SQL methodologies, Data Integration Tools like Informatica in any Database preferably in an MPP platform
  • Has strong Core Java Programming experience to apply in Data Integration
  • Works with BA’s, end users and architects to define and process requirements, build code efficiently and work in collaboration with the rest of the team for effective solutions
  • Ability to apply mastery knowledge in one of the relational data base (DB2, MSSQL, Teradata, Oracle 8i/9i/10g/11i)
  • Ability to apply mastery knowledge in one of the Data Integration Tools (Informatica, SSIS.)
  • Expert ability and hands on experience in SQL and Core Java a must
  • Experience with Unix/Linux and shell scripting
  • Ability to demonstrate experience in distributed UNIX environments
  • Excellent problem solving skills, communication skills and interpersonal skills
  • Ability to demonstrate proficiency in Microsoft Access, Excel, Word, PowerPoint and Visio
  • Ability to present to a group
  • Experience working in Agile, DevOps environment a plus
  • Experience or knowledge of web architecture, (Javascript, SOAP/XML, Weblogic, Tomcat) is a plus
  • Experience with an ORM framework, SOA Architecture, Microservices is a plus
  • Experience with Middleware components (ESB, API Gateway) is a plus
  • 5 years’ experience with ETL tool development
  • 4 years’ experience with Hadoop Eco System
  • Experience working in Data Management projects
  • Experience working in Hive or related tools on Hadoop, Performance tuning, File Format, executing designing complex hive HQL’s, data migration conversion
  • Experience working with Spark for data manipulation, preparation, cleansing
  • Experience working with ETL Tools ( Informatica/DS/SSIS) for data Integration
  • Experience designing and developing automated analytic software, techniques, and algorithms
  • Ability to handle multiple tasks and adapt to a constantly changing environment
  • Self-starter with the ability to work independently and take initiative. Ability to translate ideas and business requirements into fully functioning ETL workflows
  • Knowledge of HealthCare a plus
56

ETL / Hadoop Developer Resume Examples & Samples

  • 5+ years with Core Java and full SDLC is a MUST
  • 1+ year hands on experience with Spark Core and Spark SQL is a MUST
  • Quick learner and proactive personality is a MUST
  • Willingness to be flexible and do whatever you can to bring value to the team is a MUST
  • HBase, Hive, Impala, Spark - MUST KNOW. We need someone who knows how/why we use these technologies and also the best practices
  • This individual will be a SME for Big Data and will be responsible for hand holding
  • Experience working with multi-terabyte data sets (preferably 100's of terabytes) is a MUST
  • Familiarity with data modeling is a MUST
  • Experience in RISK space within Financial sector is HUGE PLUS
  • Experience with Spring framework & REST API
  • Experience with Git distributed version control, or Maven, for repository is a MUST
  • Experience working in a Linux environment
  • Experience with Hazelcast or Gemfire/Gridgain in-memory data fabric is a plus but NOT REQUIRED
57

Hadoop Developer Resume Examples & Samples

  • 3+ years experience in Big Data: Hadoop, HDFS, Hive, Impala, Spark, YARN [optional: HBase, Map-Reduce, No SQL (Mongo, Casandra), Kafka)]
  • 5+ years Java/Spring/SQL
  • 1-2 years Design and develop RESTful webservices
  • Experience using one or more of: Oracle, JDBC (preferred) OR mysql, PostgreSQL, NoSQL, ODBC, Greenplum (any relational database background.)
58

Hadoop Developer Resume Examples & Samples

  • 2+ years' experience inBig Data: Hadoop, HDFS, Hive, Impala, Spark, YARN [optional: HBase, Map-Reduce, No SQL (Mongo, Casandra), Kafka)]
  • Test Driven Development or Unit Testing
  • 1+ yearsSecurity experience (Network Authentication Protocol) or Kerberos experience (Security experience relating to Network Protocol)
  • 2+ years Maven and familiarity working with Linux/UNIX shell Scripts, Jenkins
  • cloudera or hortonworks experience is a plus**
  • Apache/Open source experience is a plus**
59

Hadoop Developer Resume Examples & Samples

  • Deploy and manage business technology solutions and applications, analytical technology solutions
  • Consult with internal customer teams
  • Manage technology solutions portfolios, and identifying new technology approaches to solve business problems with a strong focus on leveraging enterprise data in our Hadoop data lake and compare facilities
  • Enable analytics partners to investigate, research, and analyze transactional data
  • Combine their technical expertise with the ability to architect, deploy, and oversee integrated analytics/business technology solutions
  • Contribute to the building and management of the analytics infrastructure for the Advanced Research & Analytics (ARA) team
  • Manage internal engagements, meeting project and deliverable timelines, ensuring the accurate and timely completion of deliverables
  • Work with Analytics Directors on staffing needs, strategic technology trend identification, monitoring project progress and completion, issue resolution and technical solutions related to data, data flow and advising on algorithm deployment
  • Deploy and oversee end-to-end analytics and data technology capabilities
  • Manage big data infrastructure including data processes; acquisition, storage, transformation, and analysis
  • Establish technology strategies, team direction, resolve problems and provide guidance to members of own team
  • Adapt departmental plans and priorities to address business and operational challenges
  • Make product, service or process decisions likely to impact multiple groups of employees and/or customers (internal or external)
  • Collaborate with analytics practitioners, business analysts and methodologists to design and oversee the development of working prototypes of technical solutions
  • Facilitating the creation of complex statistical statements on healthcare data that measures various aspects of healthcare services, consumer episodes, and operational events
  • Prioritize and manage an analysis plan and several technical work streams in support of UHC initiatives and programs
  • 2+ years in enterprise architecture or data warehousing or business intelligence or software development
  • Proficiency in at least one programing language with demonstrated experience developing technical solutions: Java, C, .NET, SQL
  • Experience on Hadoop Development
  • Demonstrated time management and project management skills
  • Ability to navigate and drive results in a matrix environment
  • Ability to document and communicate complex technical concepts
  • Competency to convert research requirements to analytical specifications
  • Able to recognize technical and analytical problems and solution with minimal supervision
  • Effective in fast-paced team-oriented environment
  • Bachelor's degree in Engineering, Computer Science, Information Technology, Healthcare Economics, Mathematics, Statistics, Biostatistics, Theoretical Physics, Quantitative Social Sciences, Actuarial Science
  • 2+ years of technology, research or problem solving experience
  • Knowledge of with Big Data platforms
  • Previous experience with Teradata, Netezza, Greenplum, Aster Data, Vertica, Hadoop
  • Experience with statistical software integration (e.g., SAS , SPSS, or R)
  • Familiarity with visualization capabilities such as D3.JS and Tableau (and Tableau server)
  • Knowledge of NoSQL platforms (e.g., MongoDB, Couchbase, MarkLogic etc.)
  • Experience with healthcare data, specifically in Medicare and Medicaid analytics, provider and consumer analytics, and Fraud, Waste, and Abuse (FWA) analytics
  • Experience with app development, analytical infrastructure development, and business solution consulting experience in the medical or pharmacy policy space, fraud-waste-abuse detection, marketing analytics and healthcare economics
60

Hadoop Developer Resume Examples & Samples

  • Understanding of Data Warehousing a must
  • Design and develop ad-hoc analysis based on business requirement needs
  • Coordinate with business to ensure follow-up and resolution of expectations including specific individual resolution as well as root-cause analysis and control gap identification
  • Experience working with healthcare data
  • 4 to 8 year's work experience related to BI tools and platforms; analytics, technology, and healthcare data
  • 2+ years' experience of Hadoop platform administration
  • Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts
  • Working knowledge of building self-serve analytics tools for business users plus
  • Working knowledge of statistical analysis, data mining and predictive modeling tools and techniques a plus
  • Demonstrated ability to work independently and within a team
  • Demonstrates a persist bias toward action
61

Big Data Hadoop Developer Resume Examples & Samples

  • Bachelor's Degree (or higher) or High School Diploma/GED with 5+ years experience in the IT Industry
  • 2+ years of experience with Big data Hadoop, HIVE, HIVE QL
  • 2+ years of experience in full Software Development Life Cycle
  • 2+ years of experience batch processing or similar
  • Experience with Tivoli Workload Scheduler or similar
62

Hadoop Developer for the SAP Hana Vora Team Resume Examples & Samples

  • Query execution via Spark
  • Kafka / ActiveMQ
  • Security concepts
  • Expert skills in one ore more of the following languages: C++, Java, Scala, Python, R, Lua, Go
  • Experience with ETL and Complex Event Processing
63

Seniorjava / Hadoop Developer Resume Examples & Samples

  • Essential functions include programming experience using Java, SQL Server AND MUST have HBase, Storm or MapReduce experience (full project completed)
  • Must possess relevant experience with web standards, usability, and accessibility principles
  • Expert computer skills (Linux and Mac or PC)
64

Senior Hadoop Developer Resume Examples & Samples

  • Will want to work with cutting edge technologies like Kafka, H-Base, Cassandra, Samza and others based on use case
  • Work with other architects to scale products for today's need and for future roadmaps 12-24+ months away
  • Perform new product analysis
  • Design and document high availability distributed system
  • Design and document Big Data(Hadoop) solutions
  • Design and document data warehouses
  • Design and document system to APIs to expose data to production services
  • Design and document system to system interfaces and transport layers
  • Implement proof of concepts
  • Influence, train and mentor developers
  • Influence and document development practices
  • Collaborate and work with various stakeholders including development managers, developers, and business constituents
  • Comfortable speak in front of large audiences
  • Comfortable working with multi-petabyte systems
  • Proficient knowledge ofHadoop and traditional RDBMS systems
  • Proficient knowledge of data science and machine learning tools and practices
  • Proficient understanding ofKimball Methodology and data warehouse design
  • Experience with Click StreamAnalysis
  • Experience with Cloud BasedBig Data Systems
65

Hadoop Developer Resume Examples & Samples

  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  • Designs, develops and modifies modules based on functional and system requirements
  • Writes new software, makes modifications to existing software applications and modules in accordance with written specifications
  • Work closely with the Team Leader/Project Manager for understanding the functional and system requirements
  • Participate in testing process through unit testing and bug fixes
  • Contributes to and maintains technical documentation / manual related to assigned components to ensure supportability
  • Develops software using disciplined software development processes, adhering to industry standards and software best practice guidelines
  • Adherence to ISMS and Coding standards
  • Adherence to Configuration Management system
  • Participate in detailed design and test case preparation
  • Perform Software Quality Assurance activities viz. system testing, doc review, reviewing RTM & updating, peer review etc
  • Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
  • Process unstructured data into a form suitable for analysis
  • Support business decisions with ad hoc analysis as needed
  • Management of Hadoop cluster, with all included services
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Experience with NoSQL databases, such as Cassandra, MongoDB
  • Experience with Cloudera//Hortonworks
  • Good logical and debugging skills
  • Self-motivated, team player, action-and-results oriented
  • Graduation degree in computer science or above
  • 2-4 years’ experience with Big Data, Hadoop Ecosystem and related technology
  • Strong Experience in Python, Pig Latin, Shell Scripting, R, Scala, HiveQL
  • Experience with tool like Eclipse, Eclipse BIRT, Hue, Pig, Hive, Oozie, Tez, Sqoop
  • Strong experience on SQL/PLSQL, MongoDB, Cassandra
  • Experience in PHP, JAVA, ASP.Net, C#, HTML5, JQuery, JS will be an added advantage
66

Hadoop Developer Resume Examples & Samples

  • Must Have: Strong Hadoop Architecture knowledge
  • Expert in HIVE SQL and ANSI SQL - Great hands on in Data Analysis using SQL
  • Prior Experience with Agile Software Development Methodology is preferable
67

Hadoop Developer Resume Examples & Samples

  • Develop techniques to process and analyze events on a real-time streaming platform
  • Develop API enabling access to highly-scalable data services
  • Work closely with data science and software engineers to design and build scalable data pipelines
  • Design and implement high-performance data models in NoSQL database technologies
  • Develop and configureHadoop/Big Data components (e.g. Oozie, Cascading, Spark)
  • Develop quality scalable,tested, and reliable data services using industry best practices
  • Dockerize apps and services for CI/CD deployment
68

Dw-hadoop Developer Resume Examples & Samples

  • Build fusion index pipeline for the bulk and real time indexing of large-scale data sets residing in database, Hadoop and NAS locations
  • Build fusion query pipeline from querying Solr and running on the fly aggregation
  • Write efficient search queries against Solr indexes using Solr REST/Java API
  • Design, create and manage shards and indexes for Solr Cloud
  • Use Machine Learning to improve relevancy of search results
  • Prototype and demonstrate new ideas of feasibility and leveraging for Solr Capabilities
  • Write Hive scripts to aggregate / transform core data and prepare for Solr indexing
  • Contribute to all aspects of application development including design, development and support
  • Identify, clarify, and resolve issues and risks, escalating them as needed
  • Lead a team of developers
  • Participate in design discussions and contribute to the architecture processes
  • In-depth knowledge of database concepts
  • Proficiency in Apache Solr
  • Good understand of Hadoop
  • Source control (preferably Git Hub)
  • Ability to write automated unit test cases
  • Experience in Scala
  • Experience in Lucidworks Fusion
  • Experience in Hive, Impala, and other Hadoop ecosystem
  • Experience in Spark and Machine Learning
  • Good understanding of RDBMS and SQL
69

Hadoop Developer Resume Examples & Samples

  • Developing and testing workflow scheduler job scripts in Apache Oozie
  • Using various Hadoop ecosystem technologies such as Hive, Pig, Hbase and oozie for data storage, analysis, and job scheduling
  • Has minimum of 2+ years of experience in Oozie. (development of job scheduling scripts, working with Workflow jobs, Oozie co-ordinators , Oozie bundles, Development of custom EL functions/Action types, oozie operations)
  • Exposure to Hadoop Ecosystem components which include but are not limited to
70

Hadoop Developer Resume Examples & Samples

  • Strong communications skills with different levels in the organization as well as a business acumen to understand various types of business problems
  • Experience working with large datasets, Big Data and distributed database environments
  • Experience working with groups which have highly analytical skills
  • Desire to learn new technologies and try implementing them
  • Ability to drive a project from the beginning to the end
  • Undergraduate (or Graduate) degree in a technical field, such as Computer Science, Computer Engineering, Electrical Engineering or Mathematics
  • Strong Java programming skills required. Other scripting skills, such as Python or Perl a plus
  • Strong knowledge on Data Warehouses, RDBMS and MPP database skills, including query optimization, and performance tuning
  • Expert knowledge on large-scale/distributed SQL, Hadoop, NoSQL, HBase, Columnar databases
  • Expert knowledge on Hadoop-related technologies, Hive, Impala, MapReduce, Spark, etc
  • Strong knowledge on batch and streaming data sources with structured and unstructured dataSearch Jobs US
71

Senior Hadoop Developer Resume Examples & Samples

  • Use hands-on programming skills, to design, code, and testing of complex distributed application components, will work with a team of technology and business data specialists to execute the technology functions required to establish data environments, develop data maps, extract and transform data, analyze and reconcile data errors and anomalies. This is a dynamic environment where the right candidate will be comfortable and capable of operating in “test and learn” mode
  • Build distributed and scalable data pipelines that ingest and process data using components from the Hadoop ecosystem
  • Evaluate Big Data technologies and prototypes to improve data processing architecture
  • Demonstrate proficiency in programming, specializing in Scala, Spark, Hive, Impala development
  • Demonstrate proficiency in Shell, Python scripts for file validation and processing, job scheduling, distribution and automation
  • Experienced in performance tuning and analysis in both relational database and NoSQL database
  • Experience with Agile and lean development practices
  • Desire to learn and use different technologies to overcome complex problems
  • Software development IT experience of 10+ years. Relevant Big Data Hadoop experience 2 - 3 years
  • Strong core knowledge of Hadoop architecture and components in the Hadoop ecosystem
  • Strong experience in programming using Spark & Scala. Experience of programming with various components of the framework, such as Impala. Should be able to code in Python as well
  • Strong experience in Hive Query Language including performance aspects
  • Strong knowledge and development experience using Pig, Sqoop, Impala
  • Python and Shell programming experience
  • Experience with Linix or Solaris are required
  • Working knowledge of version control system like PVCS or GIT
  • Software mind-set with a focus on reusability and testability
  • Excellent organizational, analytical, written and oral communications skills
  • Excellent interpersonal skills with proven ability to use those skills to effectively Interface with end users and development teams to conduct systems analysis and planning
  • BS or MS in Computer Science, Information Systems, or equivalent
72

Hadoop Developer Resume Examples & Samples

  • Knowledge in Hadoop
  • Good knowledge in back-end programming, specifically java, JS, Node.js and OOAD
  • Ability to write Pig Latin scripts
  • Familiarity with data loading tools like Flume, Sqoop
  • 5+ years of experience in Hadoop development and implementation
73

Hadoop Developer Resume Examples & Samples

  • Must have worked in Big Data technologies for atleast 3 years
  • Hands on experience on Hadoop technologies(Hive, Pig, Sqoop, Map reduce Framework & HDFS)
  • Good understanding of Lambda Architecture
  • Experience in core Java and J2EE technologies. sure
  • Good understanding and working knowledge of any Application Server
  • Good understanding and working knowledge of SOA architecture and its related technologies
  • Fair knowledge on NoSQL databases such as MongoDB, HBase, Cassandra etc
  • Fair knowledge on any RDBMS Designing Skills
  • Must have experience in understanding business vision to prepare ETL solution architecture
  • Identifying solutions to key technical challenges in projects concerning Data Integration Communication Skills
  • Must have very good oral and written communication skills * Must have experience in presenting technical topics to large audience
74

Full Stack Java / Hadoop Developer Resume Examples & Samples

  • DO NOT APPLY UNLESS YOU CAN INTERVIEW ON SITE IN DENVER, COLORADO**
  • Full Stack Java experience
  • Hadoop experience, or a similar database
75

Data Engineer / Hadoop Developer Resume Examples & Samples

  • Know-how in different data source technologies
  • Masters technologies in an analytical context
  • Ability to define new data structures in the Big Data and Analytics infrastructure
  • Enables access to the source system(s) for the Data Lake
  • Does data engineering from source systems to analytical target systems
76

Ccet Pune Java / Hadoop Developer Research C Resume Examples & Samples

  • Candidate will be working on a fast-paced, highly visible and very challenging project
  • He may be required to work in R or Python scripting languages or to support C# and NodeJS services in other areas of analytics platform
  • Responsible for data analysis, service/component design, coding, unit testing and other SDLC activities
  • Requirement understanding, analyze and convert functional requirements into concrete technical tasks and able to provide reasonable effort estimates
  • Responsible for production support related activities
  • Experience in Service Oriented Architecture
  • Strong communication skills, should be able to communicate effectively with business and other stake holders
  • Experience in service orchestration layer using tools like Apache ODE
77

Hadoop Developer Resume Examples & Samples

  • Development, deployment, and management of a quick and nimble Hadoop environment
  • Administration, maintenance, and control of the operating system, network, storage, and tools
  • Management of data, users, and job execution on the Hadoop System
  • Mentor and interact with other team members and the client for the dissemination of information about the Hadoop System and environment
  • Perform Hadoop software installation and upgrades that are within the scope of PS
  • Coordinate and assist in the implementation of data movement between Hadoop and other systems
  • Work with the application team to design and develop an effective Hadoop solution. Be actively engaged and responsible in the development process
  • Develop best practices for developing and deploying Hadoop applications and assist the team to manage compliance to the standards
  • Be a trusted and valuable member of the overall project team for Hadoop and Unified Data Architecture applications, operational applications, and BI solutions
  • Deep knowledge and strong deployment experience in the Hadoop and Big Data ecosystem - Hadoop, Flume, Hive, HBase, Pig, HDFS, MapReduce, Linux, etc
  • In depth knowledge of operations management, control, and tools used in a Hadoop environment
  • In depth knowledge of security tools
  • In depth knowledge of system management and error resolution
  • The ability to consult and advise a team on best tool selection, best practices, and optimal processes
  • Understanding of the Teradata Unified Data Architecture
78

Big Data Hadoop Developer Resume Examples & Samples

  • Develop solution all assigned projects, working closely with Team Lead and Big Data architects
  • Develop data models, write technical design documents
  • Engage with business analysts to understand business requirements and translate them to functional specification and technical design, ensuring full requirements traceability
  • Hands-on Big Data developer who can design and build robust & scalable complex systems
  • 7+ years of experience in software development role with experience on large & complex projects
  • Bachelor of Science in Computer Engineering, Electrical Engineering, Information Technology or a related field /MS / MCA or equivalent
  • Extensive Hadoop development and implementation , Experience with Cloudera distribution
  • Pre-processing using Hive and Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
  • Proficient understanding of distributed computing principles
  • Management of Hadoop cluster, with all included services and HDFS
  • Gather and process raw data at scale which includes writing scripts, web scraping, calling APIs, write HQL queries, etc
  • Hands-on experience with Oracle databases and very strong on data modeling and management techniques
  • Experience with Linux, UNIX and MS Windows application deployment platforms
  • Good understanding of classic Hadoop and Yarn architecture along with various Hadoop Demons such as Job Tracker, Task Tracker, Name Nodes, Data Nodes, Secondary name node, Resource manager and Node Manager
  • Ability to work independently under strict deadlines
  • Deep knowledge in data mining, machine learning, natural language processing, or information retrieval
79

Ccet-pune-java / Hadoop Developer Resume Examples & Samples

  • Candidate is expected to be a self-starter and someone who loves technology in general and excels when challenged
  • Candidate may also be required to work on modern GUI built in HTML5/Angular and therefore must be a quick learner and keen to learn new technologies
  • Directly impacts the business by ensuring the quality of work provided by self; works closely with other teams as partner
  • Work proactively, independently and with global teams to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks
  • Open to learn and work in other technologies such as C#.Net, Web Services, KDB+/q
  • Experience Java, Spark and OOPS based development
80

Hadoop Developer Resume Examples & Samples

  • Hadoop development and implementation of a large scale data ingestion, cleansing, and aggregation system
  • Loading disparate data sets and performing analysis of vast data stores
  • Develop, automate and maintain scalable Cloud infrastructure to help process terabytes of data
  • Testing prototypes and propose best practices for Big Data
  • 5+ years of experience working on Big Data platforms
  • Hands-on development experience using Apache Spark, Impala, Flume, Oozie, Kafka, Avro, Parquet
  • Hands on development experience and high proficiency in Java
  • Hands on experience with Ansible or similar tools e.g., Puppet , Chef etc
  • Very good understanding of relational as well as columnar databases(Oracle/Vertica)
  • Good understanding of financial concepts including Balance Sheets, P&L Statements and Ratios and financial products
  • Good hold on scripting including Shell/Perl and Python
81

Senior Big Data / Hadoop Developer Resume Examples & Samples

  • 2+ years of Spark/Scala experience
  • Experience with real time and batch data ingestion frameworks
  • Experience with API development and use of JSON/XML/Hypermedia data formats
  • Agile development processes experiences a plus
82

Tech Lead / Hadoop Developer Resume Examples & Samples

  • Develop scalable streaming solutions based on Spark, Kafka and/or Flume
  • Work closely with ETL technologies such as SyncSort, Informatica, etc
  • Work closely with Business Intelligence technologies such as Qlik, Tableau, etc
  • Work closely with team members from across Mastercard to identify functional and system requirements
  • Design, develop and implement data models with quality and integrity at the top of mind to support our products
  • Create documentation to support knowledge sharing; including flowcharts and diagrams
  • Provide oversight and guidance to our Data Engineering development team
  • Developing software utilizing open source technologies to interface distributed and relational data solutions
  • Work to establish a Hadoop architecture
  • BS/BA degree in Computer Science, Information Systems or related field
  • Experience using ETL technologies and/or Big Data technologies
  • Understanding of Data architecture, replication, and administration
  • Experience working with real-time or near real-time ingestion
  • Strong backend experience using; Python, Scala, HiveQL, SparkSQL, etc
  • Deep understanding of high-performant data concepts such as file stores, wide column databases, key-value pairs, etc
  • Team Lead Experience
  • Experience working with the Cloudera stack; Kafka, Spark, Flume, Hadoop, etc
  • Prior experience w/Business Intelligence Technologies
83

Hadoop Developer Resume Examples & Samples

  • Orchestrating the automatic routine acquisition of cyber security logs and supporting data
  • ETL development to normalize this data and publish it in Impala
  • Developing stream data processing pipelines to automate the running and training of machine learning models inside Hadoop
  • Candidates must have 1+ year of experience working with Hadoop**
  • 5-10 years Java development experience
  • 3+ years ETL development experience with Pentaho Data Integration
  • 3+ years experience developing in the Hadoop environment
  • Fluency in Java MapReduce and Spark
  • Linux super user comfortable with developing in a Red Hat environment
  • English
  • Java Certified Professional
84

Modern Stack Hadoop Developer CST Resume Examples & Samples

  • 4 to 9 years of development and delivery experience
  • Experience in a field encompassing Distributed computing, Big Data Analytics, Data Transformation
  • Relevant industry experience in large scale crawling on cloud platforms would be favourably considered
  • Fundamental knowledge of distributed Architectures, SOA, Micro-services, PaaS
  • Source Code control (experience with Git preferred)
  • Able to perform unix / linux scripting
  • Monitor and address issues relating to capacity constraints and performance related items
  • Analyse and perform performance tuning
  • Deliver solutions for online data extraction, data integration and data management
  • Develop and maintain high-performance, scalable utilities to support technology research and data transformation
  • Optimize data processing protocols and systems for better efficiency and maintainability
  • Contribute to the establishment and maintenance of distributed computing platform and big data services
85

Hadoop Developer Resume Examples & Samples

  • 2-3 years experience with Hadoop and Cloud technologies. Prefer knowledge with sqoop, oozie, hive, and/or spark
  • Experience with Amazon Web Services
  • Experience with Unix and java
  • Systems analysis and design techniques
86

Hadoop Developer Resume Examples & Samples

  • Manage data extraction jobs, but also play a vital role to build new data pipelines from various structured and unstructured sources into Hadoop
  • Execute and/or support the test certification scripts, analyze the results to validate the results against established success criteria
  • Support patching, incident and problem management activities
  • Enable environment sustainability through technology training and development of user guides and knowledge artifacts
  • Bachelor Degree in Computer Science, Information Systems, Math, Finance, Economics or related field
  • 2 + years of strong hands-on experience developing code in Hadoop with knowledge of Hive, Pig, and/or Sqoop
  • 3 + years of strong hands-on experience developing in Python, shell scripting, JAVA
  • Strong foundational knowledge of Unix, Hadoop architecture and Hadoop Distributed File System (HDFS) landscape
  • Nice to have skills with AWS, Scala, Oracle and/or Netezza
  • Must be detail oriented and possess strong problem-solving skills
  • Demonstrates excellent communication and time management skills
87

Senior Big Data Hadoop Developer Resume Examples & Samples

  • Responsible for building and supporting a Hadoop-based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data
  • Manage and optimize Hadoop/Spark clusters, which may include many large HBase instances
  • Support regular requests to move data from one cluster to another
  • Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion
  • Bring new data sources into HDFS, transform and load to databases
  • Work collaboratively with Data Scientists and business and IT leaders throughout the company to understand Big Data needs and use cases
  • Bachelor’s degree in Computer Science, or related discipline; with at least 5 years of equivalent work experience
  • Strong understanding of best practices and standards for Hadoop application design and implementation
  • Hands-on experience with Cloudera Distributed Hadoop (CDH) and experience with many of the following components
  • Experience in Healthcare Domain
  • Experience in Patient Data
88

Hadoop Developer Resume Examples & Samples

  • 4+ years Hadoop development and implementation, including developing Hadoop search queries
  • Demonstrated hands on experience using Hive, Pig, Sqoop, MapReduce, etc
  • Demonstrated experience in designing, building, installing, configuring and supporting Hadoop
  • Experience creating scalable and high-performance web services for data tracking
  • Hands-on experience managing and deploying HBase
  • Demonstrated experience with large data sets and technical data
  • Ability to obtain a Public Trust clearance
  • Propose best practice/standards
  • Testing prototypes and overseeing the handover to operational teams
  • Analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports
  • Federal Government Experience
  • Experience with IBM Counter Fraud Management and Improper Payments is a plus
89

Hadoop Developer Resume Examples & Samples

  • Automate deployment and management of Hadoop services including implementing monitoring
  • Drive customer communication during critical events and participate/lead various operational improvement initiatives
  • 2+ Years of strong Hadoop/Big Data experience with an overall industry experience of 8+ years at various levels with good amount of in Java programming
90

Java / Hadoop Developer Resume Examples & Samples

  • Good knowledge of Big Data querying tools, such as Pig,Hive and Impala
  • Knowledge of workflow/schedulers like Oozie
  • Experience with Spark
  • Core JAVA
  • Hadoop ecosystem(hdfs,pig,hive,sqoop)
  • Oracle PL/SQL experience
  • Bachelor’s degree MCA/B.Tech/M.E./M.Tech. (in computers, information technology or Engineering)
91

Java / Hadoop Developer Resume Examples & Samples

  • Acts as advisor or coach to new or lower level analysts
  • 3+ ETL experience (preferably Talend)
  • 3+ years of Business Intelligence experience
  • 2+ Oracle PL/SQL experience
  • Good Knowledge of Dataware housing concepts
  • Experience in SAP BusinessObjects Frontend tools
92

Java / Hadoop Developer Resume Examples & Samples

  • Implement complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data
  • Design and Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time
  • Source huge volume of data from diversified data platforms into Hadoop platform
  • Perform analysis of large data sets using components from the Hadoop ecosystem
  • Design, develops and modifies modules based on functional and system requirements
93

Think Big-hadoop Developer Resume Examples & Samples

  • Big Data/Hadoop implementation
  • Databases: Teradata, DB2, PostGreSQL, MySQL, Oracle (one or more required)
  • Exposure on NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores) and MPP Databases (Teradata, Netezza, Greenplum, Aster Data, Vertica)
  • Hadoop Monitoring tools (Nagios, Ganglia, Cloudera Manager, and Ambari etc)
94

Expert Java / Hadoop Developer Resume Examples & Samples

  • Expert in Java programming and automated testing
  • Experience in the following scripting languages, Python, Shell
  • Some experience in big data ETL framework, e.g., Spark, Kafka, Cascading
  • Some knowledge of the following technologies
95

Hadoop Developer Resume Examples & Samples

  • Have a good understanding of the E2E process of the application
  • Work with the Business Analysts to understand the enhancements / changes being propagated in a particular release cycle, design and work on the coding & unit testing tasks
  • Work with the QA team during the SIT phase and support the SIT
  • Work with Platform Support team during UAT phase
  • Identify improvement areas within the application and work with the respective component teams to implement the same
  • Working knowledge of any one or more of the following databases – Netezza, Teradata, Oracle, SQL Server
  • Knowledge of any one or more of the following databases – Netezza, Teradata, Oracle, SQL Server
  • 3+ years of experience in design and implementation of big data applications using Hadoop (MapReduce, Hive, Pig, Sqoop, Oozie) and NoSQL technologies
  • Strong experience in UNIX & Shell Scripting
  • Analyzing data with Hive, Pig and HBase
  • Ability to troubleshoot issues and perform RCA at a short interval
  • Ability to work independently and take up E2E ownership of tasks
96

Hadoop Developer Resume Examples & Samples

  • 60% - Development, Testing, and Quality
  • Perform integration development to move data from production systems to database/data warehouses using ETL tools
  • Develop technical solutions
  • Support testing by fixing defects and making necessary back end design changes
  • Ensure adherence development and architecture standards and best practices
  • Provide necessary technical support through all phases of testing and incident handling after deployment
  • Provide support for product solutions as part of a DevOps model
  • 30% - Solution Analysis & Design
  • Work with businesses, process owners, and product team members to design solutions for Cargill’s big data and Advanced Analytics solutions
  • Perform data modeling and prepare data in databases for reporting through various analytics tools
  • Create or modify design documentation as defined by team development standards, processes, and tools
  • Ensure the solution designed and built is supportable as part of a DevOps model
  • Provide technical expertise in collaborating with project and other IT teams, internal and external to Cargill
  • Plays a technical specialist role in championing data as a corporate asset
  • Take on technical leadership roles within the team, including project leadership, design leadership, and mentoring
  • Bachelor’s Degree or equivalent education or 7+ years experience in: Computer Science, Information Systems, Engineering or Quantitative field
  • 5+ years of application development or data warehouse experience, including: analysis, technical design, coding, testing, deployment, and transition to support
  • 2+ years of experience working with end to end software development
  • 2+ years of experience deploying solutions through formal change control processes
  • Curious about data and passionate about the business value of big data and advanced analytics
  • Agile, quick learner of new technologies
  • Ability to work well in cross-functional teams and foster team commitment to meeting objectives
  • Proactive, creative problem solving skills in ambiguous and changing environments
  • Strong data modelling and query writing skills
  • Skills building tables/views or data warehousing on Oracle or MS SQL Server environments
  • Skills and/or experience developing database programming on Oracle or MS SQL Server
  • Understanding of structured data, dimensional models or cubes and various forms of ETL for reporting
  • Experience preparing data for use in analytics and reporting
  • Familiarity with unstructured data
  • Familiarity with object oriented programming
97

Hadoop Developer Resume Examples & Samples

  • 5-7 yrs experience doing indepth and hands on development work
  • 4+ years of experience with the Hadoop ecosystem and Big Data technologies
  • Hands-on experience with the Hadoop stack (HDFS, MapReduce, Hbase, Pig, Hive, Storm, Impala, Spark)
  • Scripting and automation skills in Java or Python
  • Experience deploying new Hadoop infrastructure, Hadoop cluster upgrades, and cluster maintenance
  • Experience developing Hadoop integrations for data ingestion, data mapping and data processing capabilities
  • Familiarity with cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
  • Knowledge of design and architecture principles
  • Strong communication skills and ability to interact with our business, product, and development teams
  • Experience of design and architecture principles
  • Proficiency in Scala
  • Experience with Cloudera distributions CDH 4x/5x is a plus
  • Experience with graph processing systems like Apache Giraph is a plus
  • Prior experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout) is a plus
98

Hadoop Developer Resume Examples & Samples

  • Master's degree in Engineering, Computer Science, Information Technology, Healthcare Economics, Mathematics, Statistics, Biostatistics, Theoretical Physics, Quantitative Social Sciences, Actuarial Science
  • Proficiency in at least two programming language with demonstrated experience developing technical solutions: Java, SQL or Unix
  • Knowledge of Big Data platforms
99

Hadoop Developer Resume Examples & Samples

  • Performs all duties without close supervision. However, more complex assignments may require closer supervision and assistance
  • Designs, codes, tests, and debugs programs of varying degrees of complexity
  • Works directly on application/technical problem identification and resolution, including off-shift and weekend support functions
  • Works independently on complex modules that may be used by one or more programs or applications
  • Works independently on complex projects that may span multiple infrastructure components
  • Under the direction of more senior staff, assists in the development of major application modules and programs
  • Participates in integrated testing and user acceptance of application or infrastructure components
  • Works with vendors on the integration of purchased application and/or infrastructure solutions
  • Assists less senior staff with logic problems and interpretation of specifications
  • Fully knowledgeable of programming languages appropriate to the platform supported, program design and specification development, programming logic, logic diagrams, basic system analysis techniques, testing, debugging, documentation standards, file design, storage and internal systems
  • Designs and implements processes, or process improvements, to aid in development and support
  • Bachelor’s Degree in Computer Science, Information Technology, M.I.S., Analytics, Statistics, Mathematics, or Computer Technology related field
  • 1+ year of Hadoop programming experience
  • 2+ years of application development or support experience
  • 1+ year of experience in relational data base
  • Knowledgeable of the latest technology in programming languages; computing hardware and software; and current development processes and tools
  • 2 to 4 years of programming, integration or infrastructure experience
  • Knowledge of Caterpillar policies and procedures, and a general understanding of Caterpillar’s organization
100

Hadoop Developer Resume Examples & Samples

  • Be a good team player
  • Flexibility in adapting to team requirements
  • Ensuring adherence to defined process & quality standards, best practices
  • Ensuring high quality levels in all deliverables
  • Adhere to team’s governing principles and policies
  • Participate in mandatory training and cross functions across team
  • Demonstrate enthusiasm and zeal to acquire domain knowledge
  • Participate and contribute to Team/Project Reviews
  • Actively involved in Process improvements and automations
  • 2+ years of experience in design and implementation of big data applications using Hadoop technologies such as Spark SQL, Spark Data Frames, Hive, Sqoop, Oozie and Kudu
  • Hands on experience with Python and Scala are nice to have
  • 3 years working experience in Java/J2EE and Object Oriented programming
  • Experience working with Open source frameworks
  • Experience in job scheduling tools like Autosys
  • Experience in Banking or financial services domain
101

Senior Pentaho & Hadoop Developer Resume Examples & Samples

  • Participation in meetings with the customer
  • Experience/Knowledge of Hadoop generally, and specifically HDFS & HIVE table definitions
  • Knowledge of database principles such as denormalisation, data types, data integrity.Knowledge of Pentaho or Informatica (ideal)
  • Experience in Data Quality Profiling
  • Understanding of logical data modelling (LDM) and mapping data to LDM’s
102

Hadoop Developer Senior Solutions Engineer Resume Examples & Samples

  • SQL and NO SQL Data stores
  • 6 or more years of relevant industry experience
  • Ability to deploy and maintain multi-node Hadoop cluster
  • Extracting and exporting data using Sqoop from sources such as SAP HANA, AS400, Oracle and SQL Server
  • Developing data pipelines using Hive and Impala
  • Shell scripting experience to manage the data pipelines
  • Basic understanding of security concepts on a Hadoop platform – Kerberos, Sentry, AD Groups, etc
  • Kafka is a good to have, since we have some upcoming use cases
  • Knowledgeable in techniques for designing Hadoop-based file layout optimized to meet business needs
  • Experience with NoSQL Databases – HBase, Apache Cassandra, Vertica, or MongoDB
  • Able to translate business requirements into logical and physical file structure design
  • Ability to build and test rapidly Map Reduce code in a rapid, iterative manner
103

Full Stack Java Hadoop Developer Resume Examples & Samples

  • Participate in full integration testing
  • Web Development: HTML5, CSS3, JavaScript, JSON, XML
  • J2EE Technologies: JSP / Servlets, EJB3, JMS, JDBC, JMX, JMS
  • Web Services: SOA, XML, XSL, SOAP, REST, Spring MVC, Spring Boot
  • Application Development: Python, Java, Ruby
  • Data-Layer Development: MySQL, PostgreSQL, NoSQL
  • Hadoop: HDFS, Hive, Spark, HBase, Impala, Apex
  • Sound understanding of continuous integration & continuous deployment environments
  • Solid understanding of application program interfaces (APIs), messaging software and interoperability techniques and standards
  • Strong analytical skills with a passion for testing
  • History of open source contribution is a plus
  • Bachelor’s degree in Computer Science or Information Systems or equivalent practical experience. Master’s degree is a plus
104

Hadoop Developer Resume Examples & Samples

  • Provide proactive data analysis of large structured and unstructured datasets involving a wide range of systems across Group Functions (i.e., Finance, Treasury, Risk, Human Resources, Brand & Communications)
  • Perform exploratory data analysis, rapid analytic prototyping and presenting creative ideas to exploit data to drive deeper insights and business value
  • Engage with business users across Group Functions to understand operational & informational pain points and drive analytic solutions to address challenges
  • Leveraging new & existing Big Data & Cloud technologies contribute to the innovative design, development and management of data analytics labs supporting Group Functions to increase knowledge and insight from enterprise data
  • Assess the completeness and accuracy of data through data analytical methods, identifying gaps in data, provide feedback to business and system owners with guidance and options to obtain missing information
  • Evaluating existing and proposed data models and how to best access and query them as well as existing and proposed data interfaces and how to clearly document them, including specification of data flow models, data flow timing, data mapping, and data transformation rules including data validations and controls
105

Hadoop Developer Resume Examples & Samples

  • Identifying the areas where code needs to change for meeting the required functionalities and maintain traceability
  • Participate in design review/ code review meetings- local/global
  • B.Tech from a top engineering college, University, preferably in computer science. Other preferred branches are EE, ECE. Candidates with passion for coding and systems development from other disciplines also can apply
  • Good coding discipline
  • Ability to mentor junior team members
  • Ability to adapt complex situations in project and streamline processes across it
  • Ability to work in a Global model, influence stakeholders and increase ownership at a local level
106

Senior Specialist Hadoop Developer Resume Examples & Samples

  • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required, 8-10 years of experience in software development required, experience in the securities or financial services industry is a plus
  • 3 to 7 years’ experience with Hadoop ecosystem
  • 3 to 7 years’ experience with Master HiveQL on Impala and Hive
  • At least 2 years of experience with ETL tool Pentaho(Kettle)
  • Proficient in SQL and experience with Oracle PL/SQL will be plus
  • Experience of working with development of complex large scale systems required
  • Ability to work efficiently with our offshore team
  • Strong communication and interpersonal skills, excellent team player
  • Superb ownership mindset, strong work ethics, a habit of excellence
107

Senior Hadoop Developer Resume Examples & Samples

  • Bug fixing, test writing
  • Knowledge of database principles such as denormalisation, data types, data integrity. Knowledge of Pentaho or Informatica (ideal)
  • Experience in building data quality rules and reports
  • Knowledge of AML transaction monitoring (beneficial)
  • Programming experience (such as Java)
  • Understanding of logical data modelling (LDM) and mapping data to LDM's
108

Hadoop Developer Resume Examples & Samples

  • Good knowledge on Hadoop, Sqoop, Pig, Hive, Python, Oozie, Flume, Spark and Kafka and strong SQL background
  • Hadoop with Spark background would be preferred
  • Ability to write simple to complicated SQL in addition to having ability to comprehend and
109

Hadoop Developer Resume Examples & Samples

  • Over 15 million members
  • More than 13,000 employees
  • Over 110 locations
  • Medical, dental and vision benefits plans and life insurance
  • Employee Development and Training
  • Excellent advancement opportunities
  • Flexible Spending Account
  • Employee Assistance Program
  • 401(k) eligibility and matching
  • Pension plan
  • Employee credit union
  • Insurance premium reduction and travel discounts
110

Senior Java Hadoop Developer Resume Examples & Samples

  • Perform Unit Testing, System Testing for all applications developed / enhancements and ensure that all critical and high-severity bugs are addressed
  • Core Java 1.7+ (Collections, IO, Util, System), JDBC, Distributed systems
  • Excellent analytical and troubleshooting skills is a must
  • Good To have: Distributed Caching/Gemfire AngularJS
111

Hadoop Developer Resume Examples & Samples

  • Hands on experience in Hadoop (HDFS/Hbase/flume/Scoop/MapReduce/Yarn)
  • Hands on experience in Importing and exporting the data using Sqoop from HDFS to Relational Database systems/mainframe and vice-versa
  • Hands on experience in UNIX and Shell Scripting
  • Web dev experience, mainly around Angular
  • Knowledge of GIS System and Geospatial data processing in Hadoop
112

Senior Hadoop Developer Resume Examples & Samples

  • Hands on experience in job scheduling tools like Oozie and Falcon
  • Hands on experience in Pig and Hive Queries
  • Knowledge of Informatica and Master Data management
113

Hadoop Developer Resume Examples & Samples

  • Responsible for the delivery of software solutions using Big Data and/or Open source technologies for core engines that power the Merchant Data Platform
  • Develop innovative search algorithms using machine learning, NLP and information retrieval techniques to improve the quality of Visa's Merchant data
  • Build highly scalable solutions that can crunch millions of rows of information to detect and retrieve attributes from transactional and non-transactional sources
  • Apply software development patterns and best practices via examples and shipping code
  • Ensures that your development follow a common set of principles and patterns and utilize a standard set of technology frameworks and libraries
  • Verbal and written communication skills, problem solving skills, customer service and interpersonal skills (Required)
  • Expert ability to work independently and manage one’s time (Required)
  • Expert mentoring skills necessary to provide support and constructive performance feedback (Required)
  • Expert knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery (Required)
  • Expert ability to troubleshoot issues and make system changes as needed to resolve issue
  • Expert knowledge of circuit boards, processors, electronic equipment and computer hardware and software (Required)
  • Knowledge of computer development software as it relates to systems, such as Big Data Technologies (Hadoop/Hive/Spark/H-Base/Java/Python/R etc.)
  • Strong background in search engines, Natural Language processing, text processing and mining is required
  • Strong hands-on Big Data development experience including tuning your solution, debugging, performance testing etc. is required
  • Be able to design scalable, configurable, maintainable for complex business problems
  • Be able to migrate existing functionality to new platforms, frameworks and maintain backward compatibility where possible
  • Strong Software Engineering background is required with development knowledge in multi-tier enterprise architecture
  • Experience with open source tools and modules for testing, integration & deployment
  • Bachelors degree in computer science, software engineering or relevant field required
  • 8-10+ years experience requiredSearch Jobs US
114

Big Data & Hadoop Developer Resume Examples & Samples

  • 1+ years of hands-on experience using Hadoop (preferably Hadoop 2 with YARN), MapReduce, Pig, Hive, Sqoop, and HBase
  • Strong understanding of Hadoop ecosystem including setting up Hadoop cluster with knowledge on cluster sizing, monitoring, storage design and encryption at rest and motion
  • Experience in scheduling Hadoop jobs using oozie workflow and Falcon
  • Proven experience in implementing Security in Hadoop ecosystem using Kerberos, Sentry, Knox and Ranger
  • 3+ years of strong experience in object-oriented programming through JAVA, including optimizing memory usage and JVM configuration in distributed programming environments
  • Worked on developing REST API’s using standard frameworks
  • Exposure to Hadoop’s distributed column-oriented database like HBase
  • Strong UNIX operating system concepts and shell scripting knowledge
115

Hadoop Developer Resume Examples & Samples

  • Assist business users and team members on issue resolution and problem solving
  • Participate in test planning, development, and execution for integration and system testing
  • Develop, implement, and administer through a Big Data platform
  • Promote opportunities for enhancements and process improvements
  • Provide accurate and timely management status of work activity
  • Provide accurate and timely reporting of work hours
  • Establish strong working relationships with teammates and others within organization
  • Provide production support during and after business hours, as needed
  • Participate in the local Hadoop tech meetups community
  • Work directly with external vendors to resolve issues and perform technical tasks
  • Experience with Hortonworks distribution (Ambari, Zeppelin)
  • Experience with Informatica BDM and IDL Suite
  • Experience with data analytics (especially R or SparkR)
  • Experience with Python, Shell, Scala, or JSON
  • Experience with NoSQL database (MongoDB, Cassandra)
  • Experience with leveraging cloud services and Cloud Foundry
  • Experience with Enterprise Scheduling (ex. UC4)
  • Experience with Defect Management (ex. Quality Center, Jira, ServiceNow
  • Experience with SQL clients (ex. TOAD)
  • Experience with version control (ex. Dimensions, TFS, GitHub)
  • Experience with scripting for automation and configuration management
116

Hadoop Developer Resume Examples & Samples

  • Enterprise level design and development around Big Data and Hadoop ecosystem
  • Oracle technologies including Oracle Database as well as DataStage
  • Should be able to provide end to end technical oversight of all team deliverables as well ensure defect free delivery by him/her undertaking extensive code and design reviews
  • Should be able to execute enterprise level big sized data related projects end to end by doing gap analysis with multiple stakeholders
  • Should be able to design and build highly performance and real time system and services
  • In depth knowledge of Enterprise data transformation patterns
  • Very good knowledge and experience on the Agile methodologies
  • Can identify the specific functions and responsibilities and key customers and relationships of own IT department/function
  • Can describe rationale for major IT initiatives and identify major IT issues
  • Able to interpret and apply policies and standards
  • Contributes to the development and implementation of standards and procedures
  • Has a working knowledge of one or more of the components in the technology strategy
  • Can identify the technologies in all the architecture patterns
  • Has participated in the evaluation and implementation of new technologies
  • Familiar with the syntax, structure, features and facilities of at least one language
  • Can define, document and interpret an application system design and program specifications
  • Experienced with the use of a specific application development toolkits
  • Monitors performance of major elements on an on-going and historical basis
  • Has supported software quality assurance reviews and monitoring activities
  • Has participated in most of the delivery activities on multiple development projects
  • Experience managing or leading a specific administration or support function
117

Hadoop Developer Resume Examples & Samples

  • Participate in design discussions and contribute to the architecture process
  • Understand the functional requirements and the timelines
  • Provide task breakdown and estimations
  • Work effectively with team of strong Hadoop consultants located across multiple locations
  • Track, Report appropriate development status periodically
  • Expertise in design and architecture of Hadoop based Enterprise applications
  • Strong hands-on experience with Hive, Java, Pig, Impala and HDFS
  • Strong understanding and experience in Hive database design and SQL
  • Experience in designing and implementing complex ETL processes and workflows using Oozie
  • Experience in working with scheduling systems like Autosys and TWS
  • Experience in configuring and deploying on Hadoop environment
  • Experience with version control and build tools i.e. git, nuget, teamcity
  • Experience in developing with Apache Solr
  • Experience in developing with Apache Spark
118

Hadoop Developer Resume Examples & Samples

  • Execute change management activities supporting production deployment to Developers, Quality Control Analysts, and Environment Management personnel
  • Data structures/algorithms development– Must
  • 5+ years Python experience– Must
  • Experience developing complex business solutions
  • SQL database development– Must
  • Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels
  • Prototyping Experience– Must
  • Hadoop – Must
  • HTML, CSS, Python – Must
  • R,SAS, Java, Spark/Hadoop - Preferred
  • Experience working in an Agile framework – Must
  • Unix– MustSearch Jobs US
119

Senior / Lead Hadoop Developer Resume Examples & Samples

  • Responsible for designing, developing, testing, tuning and building a large-scale data processing system, for Data Ingestion and Data products that allow the company to improve quality, velocity and monetization of our data assets for both Operational Applications and Analytical needs
  • Work with BA’s, end users and architects to define and process requirements, build code efficiently and work in collaboration with the rest of the team for effective solutions
  • Strong experience in software engineering and development of solutions within the Hadoop Ecosystem
  • Experience to design the optimal performance strategy, and manage the technical metadata across all ETL jobs
  • Strong Core Java Programming experience to apply in Data Integration
120

Senior / Lead Hadoop Developer Resume Examples & Samples

  • Supports this goal with strong experience in software engineering and development of solutions within the Hadoop Ecosystem
  • Troubleshoot and develop on Hadoop technologies including HDFS, Hive, Pig, Flume, HBase, Spark, Impala and Hadoop ETL development via tools such as Informatica
  • Implement quality logical and physical ETL designs that have been optimized to meet the operational performance requirements for our multiple solutions and products, this will include the implementation of sound architecture, design, and development standards
121

Hadoop Developer Resume Examples & Samples

  • 3+ years of experience working on Hadoop platform
  • Ingesting data to Hadoop from variety of sources like ERP, CRM, NoSQL and transactional data systems
  • 3+ years of hands-on experience with the Hortonworks Hadoop Platform, Apache NiFi/Hortonworks DataFlow, Spark ecosystem, MapReduce and ETL Workflows
  • Experience in building and operationalizing Hadoop based data lake
  • Experience with Big Data querying tools, such as Pig, Hive, and Drill
  • Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming or HDF
  • Experience with use and integration of NoSQL databases, such as HBase, Cassandra, MongoDB
  • Experience with various messaging systems, such as Kafka
  • Experience in code/build/deployment tools like git, svn, maven, sbt, Jenkins
  • Bachelor’s degree in a Business discipline or equivalent work experience
  • Minimum 10+ years technology solutions experience
  • Ability to work under challenging deadlines and constraints to deliver
  • Extensive knowledge of the SDLC with working experience in Agile methodologies
  • Familiarity with Army systems or similar DoD efforts a plus
  • Experience with designing and implementing projects within the federal sector
  • Experience working with functional consultants & business process owners to understand functional requirements and to architect landscape solutions
  • Hortonworks Certifications are an advantage but not essential
  • Security Clearance. Active Secret Clearance required. Interim secret clearance already granted will be accepted
122

Senior Hadoop Developer Resume Examples & Samples

  • Proven expertise/hands on experience in: UNIX/LINUX, Hadoop ecosystem, Oozie, Sqoop, Hive, Spark, Scala, Map Reduce, Autosys and Java. Troubleshooting and problem solving, Incident & Change Management and Change Coordinating
  • Experience of handling various (technical) production support roles and hands-on experience in using at least 2-3 widely used monitoring / scheduling tools
  • Ability in providing front line technical support to end users responding to issues related to Problem/Incident Management, Release/Deployment, Operational Readiness, Application Monitoring and Production-Governance related issues
  • Experience with troubleshooting, analysis, research and resolution using advanced query and programming skills. Conduct root cause analysis, and identify mitigations/risks
  • Experience with Real-time restoration, triaging of issues impacting technical services (application/infrastructure) to bank customers and partners in a timely manner while keeping partners advised of significant progress or challenges during the restoration period
  • Ability to work closely with Technology Infrastructure Teams, Development & Testing Teams in supporting Integrated / Independent releases, software/hardware/server upgrades
  • Hands on Experience is using REMEDY
  • College Degree in a related field
  • Oracle, SQL Server, UNIX/Linux, Java, SSIS, Informatica, ETL
  • Hadoop - HaaS Exposure, Oozie, Scala, Spark, Hive, Sqoop
  • Autosys, Remedy
123

Senior Hadoop Developer Resume Examples & Samples

  • Installing, configuring & administering Cloudera cluster (Cloud or on-prem)
  • Conducts performance tests on all environments
  • Ability to develop functionality within a Hadoop clusters
  • Ability to manage data files available in the Hadoop Distributed File System (HDFS)
124

Hadoop Developer Resume Examples & Samples

  • 5 - 8 yrs hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hive, Spark, Scala, Sqoop, HDFS etc
  • Should be well versed with Configure, design, build, Implement and support
  • Well versed with Big Data Landscape, Data warehousing and Business Intelligence
  • Good knowledge of Big Data architecture patterns, design patterns, estimation techniques, performance tuning and trouble shooting
  • Knowledge on Agile software development practices
  • Must have excellent communication skills and Client interaction experience
  • Knowledge on Apache NiFi, Apache Storm, Spark integration or Kafka is a plus
  • Knowledge on Scala with Java or Scala with Python
125

Senior Hadoop Developer Resume Examples & Samples

  • Work closely with other solution architect and functional analyst within the team to understand the requirements and design a solution that complies with the requirements
  • Create High Level Design and detailed design documents with support of architects for the assigned scope items
  • Provide L0/L1/L2/L3 development effort
  • Thorough impact analysis to identify all impacted internal and also external dependent modules Actively participate in defect triage meetings
  • Support QA/UAT team by reviewing test cases and timely resolution of defects
  • Develop comprehensive unit test cases and unit test plan
  • Conduct comprehensive unit testing and assist in building an automated unit and regression test suite
  • Timely status updates to Supervisor/Lead
  • Conduct demos (POC) and seek early feedback
  • Self-motivated, independent, detail oriented, and a responsible team-player
  • Willingness to roll up their sleeves and do what is necessary to drive projects to completion
  • Commitment to produce high quality work in a timely manner
  • Ability to identify and interpret stakeholders needs and requirements
  • Ability to work in virtual teams and matrix organizations
  • Ability to commit and prioritize work duties and tasks
  • Work to tight deadlines and provide regular progress updates against agreed milestones
126

Senior / Lead Hadoop Developer Resume Examples & Samples

  • Over eight years of overall experience as software developer in design, development, deploying and supporting large scale distributed systems
  • Over three years of extensive experience as HadoopDeveloper and BigDataAnalyst
  • Experienced in HDFS, MapReduce, YARN, Pig, Hive, Sqoop, HBase, Flume, Oozie, Zookeeper
  • Strong knowledge in extracting and generating statistical analysis using Business Intelligence tool QlikView for better analysis of data
  • Knowledgeable of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapReduce concepts and experience in working with MapReduce programs using Apache Hadoop for working with Big Data to analyze large data sets efficiently
  • Strong knowledge in working with Ecosystems like Hive, Pig, Sqoop, Map Reduce, Flume, Oozie. Strong knowledge of Pig and Hive’s analytical functions, extending Hive and Pig core functionality by writing custom UDF's
  • Experienced in importing and exporting Tera bytes of data between HDFS and Relational Database Systems using Sqoop
  • Knowledgeable of job workflow scheduling and monitoring tools like Oozie and Ganglia, NoSQL databases such as HBase, Cassandra, BigTable, administrative tasks such as installing Hadoop, Commissioning and decommissioning, and its ecosystem components such as Flume, Oozie, Hive and Pig
  • Experienced in design, development and testing of Distributed, Internet/Intranet/E-Commerce, Client/Server and Database applications mainly using technologies Java, Servlets, JDBC, JSP, Struts, Hibernate, Spring, JavaScript on WebLogic, Apache Tomcat Web/Application Servers and with Oracle and SQL Server Databases on Unix, windows NT platforms
127

Hadoop Developer Resume Examples & Samples

  • Participate in an Agile Scrum team process, collaborating closely with UX experts, subject matter experts, architects, fellow developers and test engineers
  • Analyze epics and stories to design and implement ELT processes for data lakes and develop analytic models, views and associated processes for BI functionality
  • Create and execute unit tests and perform basic application testing
  • Mentor junior developers in code practices and enterprise software development processes, participate in peer reviews and technical design meetings
  • BS in Computer Science (or related field) and 5 years of experience in software development utilizing JEE technologies
  • Experience in developing Hadoop based data architectures with structured relational data from complex RDBMS and semi structured and unstructured data from internal and public sources
  • Hands on experience working with HDFS, Oozie, Sqoop, Hive and Spark
  • Excellent knowledge in trouble shooting Hadoop cluster issues
  • Excellent knowledge in data modeling best practices in Hadoop ecosystem to support large BI user community to enable self-service data discovery and analysis
  • Experience building complex data warehouse preferably using Hadoop and complementary technologies
  • Experience with RDBMS platforms such as Oracle, MySQL, and PostgreSQL. Working knowledge of NoSQL platforms such as Cassandra/MongoDB or In memory data platforms such as HANA
  • Experience with enterprise security standards and technologies to implement them in Hadoop based data architectures
  • Experience with BI tools like Tableau, Qlik
  • Experience with single page application frameworks such as Angular, React and data visualization libraries such as Highcharts and D3
  • Experience in developing integrations between enterprise systems including ERP is a plus
  • The ability obtain a SECRET level clearance is a plus
128

Senior Hadoop Developer Resume Examples & Samples

  • Technical Lead experience required
  • Commercial development experience, including Big Data development
  • Experience in handling normalised / de-normalised data
  • Must have previous hands on development experience in HADOOP BIG data architecture – Java, map-reduce, HBASE/HIVE, Oosy, Pig and other Hadoop eco-systems components
  • Ability to work in virtual teams and matrix organisations
  • Ability to commit and prioritise work duties and tasks
129

Hadoop Developer Resume Examples & Samples

  • 5+ years of Experience using all Hadoop tools including SPARK, HIVE, HDFS
  • Proficiency in Agile and Waterfall software development models
  • 5yrs solid experience in Java
130

Senior Java / Hadoop Developer Resume Examples & Samples

  • Interpret business requirements and technical specifications
  • Confer with system analysts, managers, technical architecture personnel and internal clients
  • Develop and maintain Data applications that provide various data services
  • Responsible for auditing processes and error handling
  • Develop project documentation
  • Interact with the Quality Assurance team during integration and user acceptance testing
  • Responsible for code migrations between environments and providing operational instructions for deployments
  • Transfer knowledge to support team with required documentation
  • Coordinate with external teams to assure the quality of data and conduct integration testing
131

Hadoop Developer Resume Examples & Samples

  • Bachelor's degree in Computer Science, Engineering or equivalent work experience
  • Experience in understanding Fixed Income analytics, Structured products, and understanding on calculating P&L for all type of trades a plus
  • Experience in Java, Phython, Shell Scripting, C++ as well as experience in a LINUX OS platform
  • Experience in grid computing and multithreading understanding and implemention
  • Experience with relational databases, Hadoop, NoSQL, OOD, HTML, and HTTP/HTTPS protocol a plus
  • Knowledge in the following is a plus
  • JIRA, Confluence, and DevOps
  • 10+ Years Experience
132

Hadoop Developer Resume Examples & Samples

  • 4+ years with data ingestion, analysis, integration, and design
  • 3+ years utilizing relational concepts, RDBMS systems, and data design techniques
  • 3+ years as an ETL developer using an enterprise tool such as Ab Initio, SSIS and/or Informatica
133

Senior Hadoop Developer Big Data Resume Examples & Samples

  • Provide technical leadership and guidance to diverse projects that differ in size and scope from their inception to delivery overseeing the technical solution, identifying reducing and mitigating risks
  • Research and recommend enhancements to the technical solution design based on new and emerging technologies, and establish priorities, standards, and strategies consistent with Scotiabank's Technology Roadmap, business goals and economic viability
  • Work with Project Sponsor to help them understand infrastructure needs, and technical constraints in order to establish the scope of the project and define and deliver complex features
  • Maintain Security Design and Threat & Risk Assessment as required for new projects, maintain up-to-date knowledge of current industry and Scotiabank security practices and liaise with Security Operations Services as required
  • Assess technical designs of team members to ensure the recommended design achieves the appropriate balance between costs, re-use, ongoing maintenance, operability and scalability
  • Lead pilot projects for the development of new Hadoop related frameworks and coaching the team on how to integrate Hadoop based technology
  • Lead and assist in the definition of non-functional requirements and the delivery of a highly scalable, secure and flexible solution
  • Collaborate with multiple technical teams to understand interdependencies, commonality and variability of the solutions under development and then help the teams deliver a platform made of reusable and configurable capabilities
  • Ensure compliancy with Enterprise Architecture best practices and Release Management Processes and prepare documentation or presentations as required
  • Share knowledge of key learnings throughout the enterprise (including mentoring and helping develop our more junior team members); establish, communicate and advocate strategic and technological plans
  • Ensure the documentation of technical design, deliverables, tools and findings and for use in future projects
  • Provide input to the continuous improvement of processes and adopting latest technologies and methodologies
  • Ensure Agile and Lean best practices are applied to software development and architecture design
  • Must be passionate about technology, maintains superior knowledge of emerging industry & technology trends across multiple disciplines; as well as development methodologies and technical architecture patterns
  • Must have 2 years of hands-on technical working experience with Hadoop related HDFS, Hive, Sqoop, Spark, Pig, Python. Working knowledge of Hadoop technology and Big Data design principles is essential
  • Hands-on technical working experience with Relational Databases, SQL queries, AIX/Linux OS scripting/commands, Core Java, XML & mainframe interfaces is essential
  • Must possess strong problem-solving skills to rapidly assess problem situations and recommend alternate solutions to effectively resolve high-level, complex problems
  • Must possess excellent interpersonal and communication (verbal/written/presentation) skills to effectively liaise with business users, members of project team, strategic technology partners and internal technical support teams
  • Able to think outside the box and lead the teams to innovate
  • Working experience with Agile/Scrum technical environments is an asset
  • Influencing and negotiation skills to acquire/maintain support and review priorities are nice to have
  • Technical working knowledge of Extraction, Transform & Load (ETL) and Data Stage is nice to have
  • Working knowledge/experience with different Integrated Development Environments (IDE)’s, Continuous Integration (CI)/Continuous Development (CD) tools is desired
  • Working knowledge of Business Intelligence (BI) concepts and familiarity with tools like Tableau is an asset
  • Good knowledge of retail banking products and services is an asset
134

Cpt-pune-java / Hadoop Developer Resume Examples & Samples

  • 8-10 years of project experience as
  • Extensive knowledge about Hadoop Architecture and HDFS
  • Basic knowledge of PL/SQL
  • Interpersonal skills to interact with global team members and clients
  • Candidate should be willing to work extended hours to meet project needs if required
135

Hadoop Developer Resume Examples & Samples

  • A Bachelors or Masters degree in Computer Science or a related field
  • At least two years of relevant software development experience
  • Strong Hive and Impala Query Language skills
  • Experience with Spark, SparkR, PySpark, Hue and Hue Notebook
  • Experience with Squoop, Git and Squirrel
  • Experience within agile development environments such as JIRA
  • Experience with statistical methodology and Healthcare domain
  • Alternatively, a relevant combination of education, training and work experience