Big Data Developer Resume Samples

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GW
G Wilkinson
Gloria
Wilkinson
801 Bergnaum Land
Dallas
TX
+1 (555) 220 8870
801 Bergnaum Land
Dallas
TX
Phone
p +1 (555) 220 8870
Experience Experience
Los Angeles, CA
Big Data Developer
Los Angeles, CA
Lubowitz, Miller and Steuber
Los Angeles, CA
Big Data Developer
  • Following established coding standards and techniques and assist with establishing standards
  • Reviewing code and providing feedback relative to best practices, performance improvements etc
  • Assist application development teams during application design and development for highly complex and critical data projects
  • Reviewing code/providing feedback relative to best practices, performance improvements etc
  • Design, plan, and develop programs to perform automated extract, transform and load data between data sources when working with large data sets (TBs+ range)
  • Implement process improvements (Automation, Performance tuning, Optimize workflows)
  • Develops and/or executes implementation according to the project plans and priorities provided by more senior staff
Phoenix, AZ
Big Data Developer & Administrator
Phoenix, AZ
Buckridge, Reilly and Frami
Phoenix, AZ
Big Data Developer & Administrator
  • Provide accurate and timely management status of work activity
  • Establish strong working relationship with business, teammates, and others within organization
  • Provide accurate and timely reporting of work hours
  • Work directly with external vendors to resolve issues & perform technical tasks
  • Development, Implementation, and Administration within Big Data platform
  • Raise opportunities for enhancements and process improvements
  • Design, develop, test, debug, maintain, and document system components
present
Los Angeles, CA
Big Data Developer Lead
Los Angeles, CA
Klein-Hackett
present
Los Angeles, CA
Big Data Developer Lead
present
  • Leveraging new and emerging practices for Enterprise Data Management utilizing Hadoop and Software-based MPP Data Platforms
  • Applying software engineering best practices
  • Work collaboratively in a team with fellow developers, sharing ideas to solve complex and challenging business problems
  • Ensuring excellent practices are utilized in delivering Big Data Management and Integration Solutions
  • Middleware programming utilizing Java
  • Responsible for building and supporting a Hadoop-based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data
  • Ensures Big data development adherence to principles and policies supporting the EDS
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
The University of Texas at Austin
Bachelor’s Degree in Computer Science
Skills Skills
  • Working knowledge and good experience in Unix environment and capable of Unix Shell scripts (ksh, bash)
  • Proficient in JAVA, Spring and able to produce/consume XML and JSON format
  • Strong knowledge of Informatica PowerCenter toolset
  • Basic knowledge of few or eagerness to learn new technologies like
  • Be able to adjust quickly to changes
  • Solid knowledge on big data framework: Hadoop, HDFS, Apache Spark, Hive, Map/Reduce and Sqoop etc
  • Excellent communication skills, with the ability to work and contribute to a collaborative working culture
  • Demonstrable knowledge of Continuous Integration/Test Driven Development and Code Analysis including its application within the software development lifecycle
  • Ability to present complex information in an understandable and compelling manner
  • Extensive knowledge and experience in developing, profiling and maintaining multi-threaded/asynchronous applications
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15 Big Data Developer resume templates

1

Big Data Developer Lead Resume Examples & Samples

  • Middleware programming utilizing Java
  • Applying software engineering best practices
  • Optimal utilization of Apache Open Source Software
  • Leveraging new and emerging practices for Enterprise Data Management utilizing Hadoop and Software-based MPP Data Platforms
  • Engaging in enterprise-level systems component design and implementation
  • Integrating with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions
  • B.S. in Computer Science or equivalent experience
  • Strong foundation of OO design, Pipeline processing design patterns
  • 8+ years Java development experience
  • 5+ years experience with implementation of Service Oriented Architectures
  • 2+ years with JUnit testing framework for Java application testing
  • 3+ years experience with database platforms and SQL
  • 3+ years experience developing software for Linux platforms
  • 2+ years Hadoop and Map/Reduce development experience
  • Experience in multi-threaded application development
  • Ability to communicate clearly with a wide variety of people/functions
  • Ability to work with the development team, supporting teams, and business analysts to design and implement enterprise solutions for information management
  • Proven ability to prototype and develop in short cycles (Agile Sprints)
  • Experience with MPP platforms like Teradata, Greenplum, Netezza, etc
  • Experience with NoSQL technologies like HBase, MongoDB, Couchbase, etc
  • Experience with Name-Value and Columnar databases like Parquet, Vertica, etc
  • Experience with very large data
  • Experience with data virtualization solutions
  • Experience with Maven and Jenkins
  • Ability to work well independently
  • Ability to develop use cases and software test plans
  • Ability to perform software stress testing
  • Ability to quickly adapt to new technologies and application development/integration frameworks
2

Big Data Developer Contributor Resume Examples & Samples

  • Write Map-Reduce code using Java MapReduce, Pig, Hive and Spark
  • Keep abreast of new technology, tools and techniques to implement best-in-class solutions
  • Evaluate various technology options and compare them for applicability, scalability and efficiency
  • Evolve the platform architecture with new technology components to empower development and delivery teams
  • Define standards and best-practices for big data applications
  • Understand, interpret and translate business requirements into necessary designs
  • Analyze, debug and/or assist in problem solving in both development and production environments
  • Write unit tests along with implemented functionality
  • Apply fundamental skills, concepts and practices to solve difficult assignments
  • Work with technical staff to understand problems with software and resolve them
  • Demonstrate broad knowledge of technical solutions
  • Work with business analysts to understand problems and provide most cost- and architecture- optimal solution
3

Big Data Developer Resume Examples & Samples

  • Lead solution design and implementations of Big Data solutions using Cloudera
  • Engagement with Costa Rica development team to lead and guide technical decisions
  • Develop solution and provide direction on development, integration, and maintenance of Big Data analytic solutions and application systems to support Intel's business needs and meet IT standards
  • Champion the creation of BKMs, guidance & framework of all Big Data development technologies such as Nutch, Sqoop, and flume, Hive, Pig, Mahout, and HBASE etc. Also coach and ramp the other Big Data team members
  • Project Engagement Management Responsibilities include - owning TDD, QAC reviews, Design and Architecture reviews, Pre-reviews as required for larger project / development efforts
  • Measure project quality, define and improve governance process
4

Lead Big Data Developer Resume Examples & Samples

  • Leads the design and implementation of data integration jobs required to extract, transform, clean, and move data so it can be loaded into a data warehouse or a downstream application
  • Adapts data integration processes to accommodate changes in source systems and new business requirements
  • Mentor and coach other developers through the transition to big data technologies and practices
  • Responsible for the quality of the code written by the team ensuring proper design reviews, code reviews, unit testing and integration testing
  • 7-10 years of experience developing enterprise-grade data integration solutions
  • 5+ years of experience working with MPP data warehousing platforms such as Teradata, Netezza or Vertica
  • 5+ years of experience with ETL tools such as Informatica, Ab Initio or similar
  • 5+ years of experience developing data integration jobs in the Hadoop environment, including hands-on experience with MapReduce, Spark, Pig and Hive
  • Experience with Java, Scala or Python programming and development tools
  • Working knowledge of shell scripting and enterprise job scheduling tools such as Tidal, UC4, AutoSys or similar
  • Experience with real time stream processing frameworks such as Spark or Storm is preferred
5

Big Data Developer Resume Examples & Samples

  • Strong OO skills – Python, Java, or C++
  • Experience of managing large amounts of data
  • Hadoop (or similar)
  • OpenMP or MPI
  • ETL tooling experience e.g. Informatica
  • Experience in Financial Industry
  • DB experience Oracle or equivalents
  • Experience with Forecasting and Financial Statement preparation
  • Establishment of data dictionary, Meta Data repository
6

Big Data Developer Resume Examples & Samples

  • The successful candidate will be responsible for developing, analyzing and executing Big Data ideas and initiatives designed to achieve business growth & loss mitigation goals
  • Working experience with teams spread across many geographies and time zones
  • Hands on experience with Big Data technologies and must have worked on at least two big data projects for large organizations
  • Extensive experience with Hive, Sqoop, HBase
  • Hands on experience with relational databases (PL/SQL) and very strong data modeling and management techniques
  • Experience with Linux OS (Centos, RHEL, Ubuntu etc.)
  • Strong software development lifecycle management experience with waterfall and agile development methodologies
  • Strong programming skills in Scala/R/Java
  • Cloudera/Hortonworks BigData certification is desirable
  • Kafka, Spark, Oozie, Sentry and Scala knowledge is desirable
  • Experience on serialization frameworks like Avro, Protocol buffers
7

Big Data Developer Resume Examples & Samples

  • Build a database to store and manage over 2 million completed survey responses for our online polling and continuously updating voter file of the Unites States which includes over 192 million voters
  • Manage the technical communication between the survey vendor and internal systems
  • Manage data ingestion to support structured queries and analysis
  • Maintain system with weekly and daily updates
  • Serve as primary technical member in a team of data scientists whose mission is to quantitatively analyze political data for editorial purposes
  • Design, build, test, and maintain data-driven applications
  • Assist with data profiling and analysis
  • Collaborate with other development and research teams on Big Data application development
  • Document applications, processes, and procedures
  • Solid understanding of the Big Data ecosystem
  • Exposure to Business Intelligence technologies and reporting
  • Experience with data cleansing, data management, and data governance
  • Minimum of 3 years of software development experience
  • Familiarity with networking components, protocols, challenges, and solutions
  • Understanding of Analytics software, e.g. R, SAS, Matlab
  • Experience with Business Intelligence tools, such as Business Objects, Microstrategies, Tableau
  • Advanced courswork in computer science, statistics or an applied quantitative field
  • Experience with NumPy, Eclipse, Scalatra, Java, Scala, or C/C++
  • Exposure to Media Industry
  • Understanding of Political Data Analysis
8

Platform Engineer / Big Data Developer Resume Examples & Samples

  • Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs
  • Designs new software and big data applications, supports applications under development, and customizes current applications. Develops software update process for existing applications. Assists in the roll-out of software releases
  • Trains junior Software Development Engineers on internally developed software applications
  • Oversees the researching, writing, and editing of documentation and technical requirements, including evaluation plans, test results, technical manuals, and formal recommendations and reports
  • Keeps current with technological developments within the industry. Monitors and evaluates competitive applications and products. Reviews literature, patents, and current practices relevant to the solution of assigned projects
  • Provides technical leadership throughout the design process and guidance with regards to practices, procedures, and techniques. Serves as a guide and mentor for junior level Software Development Engineers
  • Assists in tracking and evaluating performance metrics. Ensures team delivers software on time, to specification, and within budget
  • Works with Quality Assurance team to determine if applications fit specification and technical requirements
  • Displays expertise in knowledge of engineering methodologies, concepts, and skills and their application in the area of specified engineering specialty
  • Displays expertise in process design and redesign skills. Presents and defends architectural, design, and technical choices to internal audiences
  • Applies disciplines of Software Craftsmanship including Test Driven Development, Continuous Integration and static code analysis
  • Works with various data sets and implements real-time data producers that integrate with various systems
  • Experience with big data technologies like Hadoop / Spark are highly desirable
  • Experience with real-time streaming technologies like Kafka, Spark Streaming, Apache Nifi are highly desirable
9

Big Data Developer Resume Examples & Samples

  • Design, development and configuration of Production level Secure Hadoop based data services
  • Contribute to the development of 'Data as a Service' and "Sandbox" services
  • Design and build complex ETL and data movement solutions
  • Support the software development for a range of R&D initiatives
  • Proven development experience in Hadoop and Big Data Solution Architecture
  • Goal oriented structured thinking and effective organizational skills
  • Applied knowledge of several Big Data technologies, practices and analytical approaches, including
10

Big Data Developer Resume Examples & Samples

  • BS in Computer Science or related area
  • Around 3-5 years software development experience
  • Minimum 1 Year Experience on Big Data Platform
  • Proficiency in atleast 2 or 3 among Java, Python, HBase, Hive, MapReduce, ETL, Kafka, Mongo, Visualization technologies etc
  • Stream processing -- Apache Storm, Samza, Spark streaming
  • NoSQL -- HBase, MongoDB, Cassandra, Riak,
  • Code/Build/Deployment -- git, hg, svn, maven, sbt, jenkins, bamboo
  • Excellent communication and decision making skills are essential
  • Strong analytical, problem solving and decision-making skills
  • Identify project issues, communicate them and assist in their resolution
  • Assist in continuous improvement efforts in enhancing project team methodology and performance
  • Cooperative team focused attitude
11

Big Data Developer Engineer Analyst Intern Resume Examples & Samples

  • Reviews, writes, and edits codes. Conducts analysis to determine integration needs
  • Works to leverage Big Data Hadoop and Spark infrastructure to empower the organization
  • Works with NoSQL stores to back mission critical initiatives with per formant data stores
  • Drives to implementation and adoption of Real-time streams of data. (Ex: Kafka Producers)
  • Researches, writes, and edits documentation and technical requirements, including software design evaluation plans, test results, and technical manuals
  • Monitors and evaluates competitive applications and products. Reviews literature, patents, and current practices relevant to the solution of assigned projects
  • Works with the Quality Assurance team to determine if applications fit specification and technical requirements
  • Applies full use and application of engineering methodologies related to area of engineering specialty
  • Displays knowledge of engineering concepts and skills and knowledge of their application in the area of specified engineering specialty
  • Displays knowledge of, and ability to apply, process design and redesign skills
  • Displays in-depth knowledge of engineering methodologies, concepts, skills, and their application in the area of specified engineering specialty
  • Displays in-depth knowledge of, and ability to apply, process design and redesign skills. Presents and defends architectural, design, and technical choices to internal audiences
  • Displays knowledge of, and ability to apply, project management skills
  • Major: Computer Science, or a related field
12

Big Data Developer Resume Examples & Samples

  • Delivering new data platform enhancements and features including Java data pipelines, Hadoop storage objects and processing flows
  • Providing development estimates and advising the team leader of any delivery risks
  • Taking ownership of development projects and demonstrating an ability and determination to see these through to completion
  • Liaising with surveillance portfolio project teams to understand and refine data requirements through collaborative partnerships
  • Developing automated acceptance tests
  • Engaging proactively in team planning/design sessions and being prepared to contribute
  • Taking pride in your technical development through continuous learning
  • Participating in project swarms to deliver critical items when required
  • Managing your time and effectively prioritizing parallel work streams
  • Assisting in the resolution of production issues when required
  • Confident, resilient and excited by the prospect of a significant technical and business learning curve
  • Experienced in Java to a strong foundational level
  • Possess a strong interest in data including modelling and data sciences
  • Able to demonstrate an attention to detail and refined problem-solving skills
  • Familiar with SQL and shell scripting
  • A superb written and verbal communicator
  • Unflappable and highly adaptable
  • Organized and prepared to manage multiple parallel pieces of work
  • Hands-on development experience on a production implementation of Hadoop with massive data volumes
  • Ownership of big data development projects with the space to propose new solutions
  • Potential to contribute to projects involving complex feature-based data algorithms
  • For the appropriate candidate there will be an option to take on some technical project management responsibilities (establishing project timelines, providing status updates, helping to eliminate blocking issues, maintaining quality documentation, etc.)
13

Big Data Developer Resume Examples & Samples

  • Background in physics, statistics or mathematics
  • Experience with building stream-processing systems
  • Experience with various messaging systems, such as Kafka or RabbitMQ
14

Big Data Developer Resume Examples & Samples

  • Delivering new data platform enhancements principally focused on e-communication data and features including Java data pipelines, Hadoop storage objects and flows
  • A strong Java developer
  • Familiar with SQL and Linux shell scripting
  • Ownership of project delivery – you will manage your own projects including collaborating with our client portfolio teams and analysts
  • Hands-on development experience on a production implementation of Hadoop with massive data volumes and unstructured data sets
  • Exposure to communication surveillance functions in a dynamic and challenging industry with regular close collaboration with our surveillance portfolio clients
15

Big Data Developer Resume Examples & Samples

  • Developing effective code in a timely fashion
  • Following established coding standards and techniques and assist with establishing standards
  • Understanding the business processes that drive the applications within the department
  • Ensuring code complies with internal security guidelines
  • 3 - 5 years' experience in Java, web services, databases (MS-SQL, Oracle, MySQL)
  • Experiences with RESTful web services, Application Servers (JBoss, WebSphere, etc.), Cloud application development, Messaging (Kafka, ZeroMQ) and NoSQL (Cassandra, HBase)
  • Business-level English language skills
  • Japanese skills are desirable
  • Experience developing platforms for data analytics is desirable
16

Big Data Developer Resume Examples & Samples

  • Designing, developing and configuring Production level Secure Hadoop based data services
  • Contributing to the development of ‘Data as a Service’ and “Sandbox” services
  • Designing and building complex Extract Transform Load (ETL) and data movement solutions
  • Supporting the software development, for a range of R&D initiatives
  • Proven development experience in Hadoop and Big Data solution Architecture
  • Educated to degree level, or have the equivalent experience or qualifications
  • A creative technologist, who is passionate about data and information
  • Innovative, creative, articulate and able to work directly with a broad range of stake holders
  • Able to demonstrate examples of previously successful deliveries and a track record in providing insight and innovation through the application of data science
  • Applied knowledge of several Big Data technologies, practices and analytical approaches
  • Applied knowledge of Cloudera Hadoop Distribution (CDH 54+)
  • Applied knowledge of Hadoop security Model - Kerberos, AD integration and Sentry
  • Applied knowledge of Data Movement and Preparation (Kafka, Pentaho, SQL, Kite, Cascading), Extract Transform & Load (ETL) techniques and best practices
  • Applied knowledge of Data Management and Warehousing (Hive, Warehouse architecture, Kimball’s model, OLAP), an understanding of Hadoop as Enterprise Data Warehousing (EDW), Columnar storage databases. MPP engines
  • Applied knowledge of Hive and Impala performance tuning
  • Applied knowledge of Data Architecture and Data Design principles
17

AML Technology Big Data Developer Resume Examples & Samples

  • Contribute to full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support
  • Analyze specifications and perform program/database design activities
  • Analyze and translate business needs into effective technical solutions and documents
  • At least 4 years of Application development experience through full lifecycle
  • Strong Software Development Lifecycle management experience
  • Experience with Red Hat Linux, UNIX Shell Scripting, SQL, no-SQL
  • Hands-on experience Oracle database and Big Data experience using HDFS, MapReduce, Hive, HBase, Pig and Sqoop
  • Cloudera certification will be an asset
  • Experience working with teams spread across many countries and time zones
  • Hands-on Experience with Excel and other MS office Products
  • Strong communications skills
18

Big Data Developer Resume Examples & Samples

  • Develop in Big Data architecture, Hadoop stack including HDFS cluster, MapReduce, Hive, Spark and Impala
  • Experience in data migration from relational databases to Hadoop HDFS
  • Hands on development experience in JAVA / Scala / Python
  • Assist and support proof of concepts as Big Data technology evolves
  • Ensure solutions developed adhere to security and data entitlements
  • Hands-on experience working in traditional RDBMS such as Oracle, DB2, MySQL and/or PostgresSQL
  • Hands-on experience writing SQL and working in Data Warehouse developing ETL processes
  • Translate, load and present disparate data sets in multiple formats/sources including JSON
  • Translate functional and technical requirements into detail design
  • Must have good understanding of compression and file formats like Parquet
  • Application performance tuning and troubleshooting
  • Participate in analysis of data stores and help with data analytics
19

Big Data Developer Resume Examples & Samples

  • Development
  • Analyze business requirements and technical challenges, design solutions
  • Communicate also with other teams and the business (Video Conference, phone, email)
  • Mentor other team members
  • Support your code
  • Interest of or experience in Big Data space
  • Solid experience in .NET or Java or Scala
  • Messaging (Kafka)
  • Hadoop, Hive, Spark, Spark Streaming
  • XML/JSON/AVRO + more
  • Elastic Search, Logstash, Kibana
  • Git, BitBucket, TeamCity, Sonar, Jira, Confluence
20

Big Data Developer Resume Examples & Samples

  • 5+ years’ experience in Information Technology
  • Advanced experience with either Java, Python, or Scala
  • Advanced knowledge of relational databases and SQL
  • Knowledge in data mining, machine learning, natural language processing, or general information retrieval
21

Big Data Developer Resume Examples & Samples

  • As a senior developer, work with business and technology cast members to define information needs and develop solutions that supports desired business and technical capabilities/requirements
  • Lead strategic and project-centric prototyping, proof-of-concept (POC), and solution prescriptions across emerging platforms. Expertly utilize distributed/parallel processing for information management solution design and development
  • Deliver solutions Produce artifacts in support of business solution design, development and implementation, including authoring documentation, position papers, and presentations/diagrams for dissemination to technical and business audiences
  • Proactively look for opportunities to align technology as an enabler for business needs and capabilities (e.g., identify need for enterprise data warehouse, advanced analytics, etc.)
  • Participate in leading edge technologies for future projects and use cases, including Cloud and Big Data platforms, business rules/data classification engines, near-real-time reporting, integration technologies, and data virtualization
  • Hands-on experience developing data, reporting, and analytic solutions with demonstrated exposure to platforms such as AWS EMR, Hadoop, Spark, or Kafka and languages such as Python, JAVA, or SQL
  • Demonstrated ability to become an established and trusted advisor with business and technology audiences
  • Proven ability to leverage and integrate technology components into an overall solution architecture in support of business requirements
  • Demonstrated product and delivery experience across all tiers in the solutioning of information management solutions – from data sourcing to end-state delivery / consumption
  • Disciplined approach to the development and delivery of technology solutions
  • Professional written and verbal communication skills
  • 2 years of relevant experience implementing solutions leveraging multi-structured
  • (Hadoop) or NOSQL (MongoDB, Cassandra, HBase) data platforms required
  • 5 years of relevant experience in Very Large Data Warehousing and/or Advanced
  • Analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, etc.)
  • 3 or more years of relevant experience in the solution architecture and implementation oversight of data-intensive solutions
  • 3 years of relevant experience with ETL/ELT data-integration platforms such as Informatica, Data Stage, Data Services, etc. a plus
  • 3 years of relevant experience with Business Intelligence toolsets such as Tableau, Business Objects, Cognos, MicroStrategy, etc. a plus
  • Bachelor of Science Degree in Computer Science, Computer Engineering, or related discipline or equivalent experience
22

Big Data Developer Resume Examples & Samples

  • As a senior developer, work with business and technology cast members to define information needs and develop solutions that supports desired business and technical capabilities / requirements
  • Proactively look for opportunities to align technology as an enabler for business needs and capabilities (e.g., identify need for enterprise data warehouse, advanced analytics, etc). Create new methods for Big Data and lead developing of accelerators
  • 3 years of relevant experience in Very Large Data Warehousing and/or Advanced Analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, etc)
  • 3 years of relevant experience with ETL/ELT data-integration platforms such as Informatica, Data Stage, Data Services, etc a plus
  • 3 years of relevant experience with Business Intelligence toolsets such as Tableau, Business Objects, Cognos, MicroStrategy, etc a plus
23

Big Data Developer Resume Examples & Samples

  • Understand the Big Data related problems and requirements to identify the optimal technical approach to solve business problems
  • Devise strategies to extract meaning and value from structured and unstructured data
  • Build data flows, including loading data into Hadoop, doing transformations and cleansing activities
  • Design, develop, test and deploy your code for managing large data sets in the supported architecture
  • Manage all components of the end-to-end data ingestion process
  • Use Big Data best practices
  • Timely projects delivery
  • Support innovation, regularly provide new ideas
  • Train more junior engineers
  • Document implemented code and ingested data
  • Experience with Unix shell scripts
  • Understanding of Character Encoding System
  • Experience with Oracle and Teradata
  • Experience with FTP/SFTP
  • Experience with web API
  • Understanding of various data formats such as XML, JSON
24

Big Data Developer Resume Examples & Samples

  • Experience with Hadoop or HDFS
  • Experience in working with relational databases, including MySQL, PostgreSQL, or Oracle
  • Experience with business development
  • Experience with Agile software development
  • Experience with a NoSQL database
  • BS degree in CS, Computer Information Systems, Information Systems, or a related field
25

Big Data Developer Resume Examples & Samples

  • 5+ years of experience with software development throughout the SDLC
  • 5+ years of experience with Java development
  • Experience with Accumulo
  • Experience with Linux, including CentOS and Red Hat
  • Active Top Secret clearance
  • Experience with ingesting data into Hadoop or Accumulo
  • Experience with Apache NiFi
  • Experience with open source software contributor, including GitHub, code.google.com, or apache.com
  • BS degree in CS or a related field preferred; MS degree in CS or a related field a plus
26

Big Data Developer Resume Examples & Samples

  • 3+ years of experience with using Apache SOLR
  • 2+ years of experience with using MongoDB
  • 1+ years of experience with using Accumulo
  • Experience with using repository management solutions
27

Big Data Developer Resume Examples & Samples

  • Scoping and delivery of Big Data solutions
  • Develop data warehouses, data lakes and analytics solutions using Big Data
  • Ability to understand and work with an architect to implement Big Data solutions
  • Bachelor’s Degree in Computer Science or related discipline
  • Ability to work in agile BI environment
  • Actively participated in the implementation of at least 1 successful implementation of big data project that had a business impact
  • 2+ years of experience with the following
28

Big Data Developer Resume Examples & Samples

  • Design, build and test scalable and highly available Big Data ETL, ELT, analytical, and other Big Data solutions
  • Design, build and test integration interfaces between Big Data platform and external systems (API-based and other)
  • Deliver scalable and reliable Big Data solutions leveraging Hortonworks HDP Hadoop platform, RDBMS, BI tools, SaaS platforms and APIs
  • Support PoC and lab technology innovation initiatives
  • Work collaboratively with business stakeholders and IT development teams to understand complex data relations and business requirements and implement and test Big Data solutions
  • Train IT and business teams in the use of Big Data environment to democratize Big Data capabilities
  • Apply concepts, industry research, best practices and agile methodologies and tools (Jira, Confluence) to implement Big Data solutions
  • Occasional off-hours work required to troubleshoot production
  • A degree in Computer Science, Engineering, Technology or related field
  • 2+ years of production experience in Software development and SDLC
  • 2+ years of production programming experience with Java, Scala, Python or other languages
  • 2+ years of experience developing Unix/Linux applications
  • Understanding of Hadoop technology stack, including HDFS, YARN, MapReduce, Tez, Hive, Pig, Spark and other components
  • Preferred 1 year of production Hadoop experience. Hortonworks HDP 2.2 and above experience is strongly preferred
29

Big Data Developer Resume Examples & Samples

  • Bachelor’s or equivalent work experience
  • Goo to have experience in Big Data Platform HBase
  • Experience in Teradata SQL programming
  • Experience in handling large datasets
  • Good to have advanced Java Programming skills
  • Strong knowledge of Teradata appliance
  • Excellent collaboration skills and good team player
  • Good knowledge on Agile Methodology and the Scrum process
  • Delivery of high-quality work, on time and with little supervision
30

Big Data Developer Resume Examples & Samples

  • Be accountable for helping to create and test application solutions for business partners
  • Help develop strategic and project-centric prototyping, proof-of-concept (POC), and solutions across emerging platforms
  • 3 years of experience writing Java and JavaScript
  • Experience creating unit tests
  • Experience in an Agile development environment
  • Experience working with Hadoop; familiarity with Spark is strongly preferred
  • Knowledge of HBase, NOSQL and other Big Data tools helpful
  • At least 3 years writing Java, JavaScript
31

Big Data Developer Resume Examples & Samples

  • Experience with Big Data technologies, including Hadoop, MapReduce, Hbase, or Kafka
  • Experience with distributed computing frameworks, including Spark or Storm
  • Experience with Python, Java, or Scala
32

Big Data Developer for Yaas Resume Examples & Samples

  • Work as part of an Agile team to design and implement a platform for data collection and analysis
  • Maintain the production systems (Kafka, Hadoop, Cassandra, Elasticsearch)
  • Cross the border and connect between development and operation, application and infrastructure, in terms of technical and organisational matters
  • Be an active team member in one of our self-empowered teams, producing software according to Agile principles
  • Be part of an international company, where English is the language of communication (German knowledge not required)
  • Take ownership from design of the feature through first lines of code to how it performs in production ("You build it, you run it")
  • Bachelor degree in computer science, software engineering or equivalent experience
  • Know-how in network (DNS/TCP/IP) and Linux administration
  • Knowing at least one SCM tool, preferable Git
  • Excellent communication skills, with the ability to work and contribute to a collaborative working culture
  • Big Data, Distributed Systems, Hadoop, Docker, Ansible (Chef / Puppet), Go (lang)
  • Continuous Delivery experience
33

Big Data Developer Resume Examples & Samples

  • Influence and/or decide on technology selection for the platform
  • Provide architectural insight for project goals, develop proofs-of-concept to validate various approaches and assumptions, help carry out the vision from its conception to execution
  • Be part of an international company, where English is the language of communication
  • Very good experience in Java, preferable an experience in Scala
  • Preferable experience in using Kafka, Spark, Elasticsearch, Cassandra
  • Very good written and verbal English language skills
  • Open-minded personality
  • Web Services, AWS or other cloud experience
34

Big Data Developer / Engineer Resume Examples & Samples

  • Assist with advancing a data driven decision making culture through the adoption and usage of new tools to provide access to all types of data in a variety of platforms
  • Be a part of a sAFE agile scrum team that is fast pace in providing business value. Writing, testing, and deploying code
  • Provide development and operational support for distributed technologies to ingest and process large data sources using Hadoop, NoSQL, DB2 LUW
  • Participate in creating and supporting a sematic layer via the use of a data virtualization tool
  • Provide technical leadership and best practices for Big Data technologies such as Hadoop, Scala, Kafka, Flume, Scoop, Spark, Java, Solr, NoSQL
  • Perform troubleshooting and issue resolution for end-users of analytics ecosystems
  • Associate's or Bachelor's degree in a science, technology, engineering, or math related field or equivalent work experience (6 years of experience equates to an Associate’s degree when defining “equivalent work experience”)
  • 2+ years working in an IT field
  • Strong technical aptitude, a desire to expand skill-set, and be innovative
  • Ability to work in the grey area – need someone who can drive technical change and influence technical process
  • Experience with any Big Data technologies
  • Basic knowledge of insurance and financial services products preferred
  • Excellent planning/organizational, problem-solving, analytical, and communication skills, as well as strong presentation and decision-making skills
  • Ability to work with ambiguous requirements
35

Big Data Developer Resume Examples & Samples

  • Experience with one or more of the following technologies
  • Hadoop v2, MapReduce, HDFS
  • Big Data querying tools, such as Pig, Hive, and Impala
  • NoSQL databases, such as HBase, Cassandra, MongoDB
  • Various ETL techniques and frameworks, such as Flume
  • Cloudera/MapR/Hortonworks
  • Experience in Oracle database administration and management – Advantage
  • Must be a reliable team player and individual contributor with strong sense of accountability
  • Ability to work under pressure in escalated situations
  • Must be a self learner
  • Ability to deliver quality results on time
  • High security clearance – Must
36

Big Data Developer Lead Resume Examples & Samples

  • 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 7 years of equivalent work experience
  • Data modeling experience using Big Data Technologies
  • Strong understanding of best practices and standards for Hadoop application design and implementation
  • 2 Years of hands-on experience with Cloudera Distributed Hadoop (CDH) and experience with many of the following components
  • Experience in Patient Data
  • Experience with Predictive Models
  • Experience with Social Media Data
37

Client Technology Big Data Developer Jersey City Resume Examples & Samples

  • Writing Unit test cases and putting in regression suites
  • Business support
  • 10-14 years experience in the field of Technology development and leading small teams
  • 3+ years of experience working on Big Data platforms
  • Hands-on experience on Hadoop, Spark and Java
  • Very good understanding of relational as well as columnar databases(Oracle/vertica)
  • Understanding of reporting tools including Cognos/Qlikview/business objects
  • Good understanding of financial concepts including Balance Sheets, P&L Statements and Ratios and financial products
  • Aptitude to decipher complex business functions
  • Adopt best practices in day to day work to improve efficiency
  • Flexibility to work with Global teams which will require working off normal working hours
38

Big Data Developer Resume Examples & Samples

  • Providing technical leadership and oversight on projects
  • Experience administrating big data platforms such as Hortonworks Data Platform, Cloudera or AWS
  • Experience developing code on distributed databases using Spark, HDFS, Hive etc
  • Bachelor’s or Advanced degree in Computer Science, Computer Engineering, or other technical discipline
  • Development of algorithms using Scala, Python, Java on ML platforms such as Spark, H20 etc
  • 3+ years in Big Data
  • Understanding of EPA, USDA, DOI, DOT or DOE data and process
39

Big Data Developer Resume Examples & Samples

  • Develop highly scalable solutions using new technologies in big data, data mining and mobile delivery
  • Develop automated machine learning models
  • Build solutions using agile development techniques
  • Appreciate and understand the cloud delivery model and how that affects application solutions – both delivery and deployment
  • Demonstrate at least 10 years experience in development with at least 5 years data science related working experience
40

Big Data Developer Resume Examples & Samples

  • B.S. or equivalent work experience
  • 4+ years in related discipline
  • Experience with all phases of the Software Development Lifecycle, including system analysis, design, coding, testing, debugging and documentation
  • Teamwork & collaboration skills to work across organizations and lead cross-functional teams
  • Communication & stakeholder management skills
  • Problem solving skills to develop quick yet sound solutions to resolve complex issues
  • Certification(s): Oracle, OBIE, Java as plus
  • Programming Language(s)
  • Database(s): Oracle, OBIE, Open Source Databases such as Cassandra and Big Data solutions as mandatory
  • Agile methodologies as plus
  • Language(s): English (Intermediate or higher)
  • Javascript experience
  • Eclipse / Junit/ Jmockit
  • DevOps / Agile development experience/knowledge
41

Lead Big Data Developer Resume Examples & Samples

  • 5+ years of related Information Technology experience
  • 2+ years’ experience working with big data and/or data warehouses is required. Strong SQL skills are required. ETL skills (Ab Initio, Informatica, Intergration Services (SSIS), etc.) are preferred
  • Ability to communicate to a wide variety of audiences, both business and technical
  • Understands the financial implications of the project (i.e. software capitalization, cost/benefits, etc.)
  • Strong decision making abilities
  • Ability to lead and mentor others
42

Big Data 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, .Net environment, SQL Server
  • 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
  • Database design skills including normalization and data warehouse design
  • Strong understanding of Map Reduce and distributed file system
  • 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
  • LI-JP1
43

Big Data Developer Resume Examples & Samples

  • Research, evaluate, identify alternative approaches to support development needs
  • Provide guidance and direction to less-seasoned staff
  • Conduct technical trainings to broader technical audience
  • Present and socialize business segment services and capabilities to senior leadership
  • Minimum of 8 + years overall development experience
  • 3+ years of experience in developing distributed computing systems applications using Hadoop, MapR, Hbase, Hive , Java / MapReduce, Spark, Scala, Storm, Kafka, Flume,Sqoop, Datasynapse, Pig, Cloudera & Hortonworks
  • 3+ years of experience in developing high volume Java, J2EE & Database applications
  • Bachelors degree (or higher)
  • Experience with MS Office (Outlook, Excel and Word)
  • Evaluate and understand a variety of modeling and/or diagramming techniques, with the ability to create process flow diagrams and the ability read data flow and entity relationship models
  • Autosys or equivalent job scheduling tool experience
44

CIO Big Data Developer Resume Examples & Samples

  • Big Data Architect, with expertise in solutions for processing large volumes of data, using tools ETL, BI and Big Data platforms
  • Proven experience of at least 2-3 years in architecture and development of different processes around Big Data platforms
  • Hadoop Distribution: Hadoop HortonWorks
  • Hands–on experience in Big Data solutions (Hadoop Ecosystem) ETLs and Data Marts
  • NoSQL platforms: MongoDB, Cassandra, ElasticSearch, Redshift
  • Cloud services: familiarity with Amazon/Azure cloud
  • Hadoop Framework Experience: Hive, Kerberos, HDFS, Kafka, Spark, Storm, Oozi, ZooKeeper and Sqoop will be valued
  • Knowledge and experience working with ETL solutions - Talend, Asterix
  • Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience and No_SQL platforms
  • Understanding of major programming/scripting languages like Java, Linux, PHP, Ruby, Phyton and/or R
  • To be able to work in teams with different disciplines
  • To be a self-managed person
  • To be able to work in a agile development environments
  • To be able to perform detailed analysis of business problems and use designing in Big Data solutions
  • To be able to work creatively in a problem-solving environment
  • To be able to do the analysis, processing and visualization of data for processing large volumes of data
45

Big Data Developer Resume Examples & Samples

  • Strong programming experience (8+ years), in Python or C++
  • Experience processing large amounts of structured and unstructured data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
  • Strong SQL expertise (6+ years). It includes designing data warehouse schemas and tuning performance of very complex SQL queries
  • Ability to clean and scrub noisy datasets building custom software tools
46

Big Data Developer Resume Examples & Samples

  • Design and develop ETL data flows using Hive / Pig
  • Perform loading from disparate data sets
  • Perform pre - processing using Hive and Pig
  • Maintain security and data privacy
  • Implement data flow scripts using Unix / hive / pig scripting
  • Propose best practices / standards
  • 2+ years Java experience
  • 1+ years Hive, Pig, Map Reduce, and / or Hadoop ECO system framework experience
  • HBase experience
47

Big Data Developer Resume Examples & Samples

  • Ensure deliverables comply to Barclays standards and policies (for Security, Data privacy, Accessibility)
  • Design and implement reusable solutions that adhere to pre-defined patterns as outlined by Portfolio Design Lead and/or Architecture teams
  • Contribute in the preparation of project plan & RAID log along with ADM, other functional designers & development teams. Active participation in daily scrum
  • Solution walkthroughs with development and test team. Handhold development team in the implementation of technical solutions, if required
  • Ownership of defect triage & work closely with Tech Lead/developers to review code & contribute as required
  • Profound understanding of Hadoop core concepts and technologies including
48

Big Data Developer Level Resume Examples & Samples

  • Bachelor’s degree with 3 years of relevant experience
  • Education: Bachelor’s degree in Information Systems, Computer Science, Electrical Engineering, Information Science; or related field
  • Candidate should be highly motivated with a strong Passion for problem solving and innovation and the ability to provide complex solutions with limited direction
  • Strong experience with design, development, and implementation of complex Java web applications and services, Micro Service and REST Architecture
  • Extensive experience with web front end development: HTML/CSS, JavaScript (JQuery or Angular preferred)
  • Candidate should have very good communication and leadership skills
  • BS Degree or higher in Computer Science or equivalent technical field with experience
  • Demonstrated capability in Java and at least one other programming language
  • Bachelor’s degree with 6 years of relevant experience
  • 4-8 years’ Experience with design, development, and implementation of complex Java web applications and services, Micro Service and REST Architecture
  • Solid understanding of software development under Linux
  • Experience developing rich, web based user interfaces
  • Strong conceptual skills and ability to apply rapid prototyping techniques
  • Ability to work alone or in a team environment
  • Ability to quickly learn and become productive on new technologies, APIs, development languages and frameworks
  • Knowledge and understand of industry best practices related to Web and Java development
  • Experience and understanding of application security and secure coding
  • Experience using Git
  • Experience developing java applications which integrate with SQL and/or NoSQL databases
  • Experience with Hadoop and/or Ambari is a plus
  • Experience with Agile methodology is a plus
  • Experience with devops and site reliability engineering is a plus
  • Experience with C#.net web development is a plus
  • Experience with Python is a plus
  • Experience using Microsoft office products
49

Lead Big Data Developer / Engineer Resume Examples & Samples

  • Lead Data Labs (Hadoop/AWS) design and development locally including ELT and ETL of data from source systems such as Facebook, Adform, DoubleClick, Google Analytics to HDFS/HBase/Hive/ and to AWS e.g. S3, EC2
  • Facilitate and organize workshops with business and analytics teams to gather requirements
  • Meetings with business stakeholders as needed
  • Developing best practices for development, coding, naming conventions and data modeling
  • Migrate and model legacy data warehouses/sources to Data Labs Hadoop and AWS environments
  • Create project roadmap(s) with milestones and follow them through on time
  • On time delivery of deliverables, meeting personal objectives
  • Working closely with local Lead Data Scientist and the rest of the Finnish Insight & Analytics team as well as the Dentsu Aegis global team in other countries
  • Assist on client projects as a consultant
  • Couch, mentor and train other team members
  • Can-do attitude and drive to get things done hands-on
  • Ability to work with minimal supervision with ability proactively drive the Dentsu Aegis Data Labs-platform development work
  • Excellent design, organizational, communication, and collaboration skills
  • Strength in numbers, data structure and algorithms preferred and statistical knowledge is a big advantage
  • Outstanding problem solving skills and analytical mind-set
  • Proven background in Distributed Computing, Data Warehousing, ETL development, Cloud computing and large-scale data processing
  • In-depth experience in HDFS, HBase, Hive, Impala, Sqoop, Oozie, Map-Reduce, YARN, Zookeeper & Spark Streaming
  • Strong hands-on experience in AWS cloud environment and data technologies – Infrastructure, Architecture, Services
  • Good understanding of security and authorization concepts
  • Solid knowledge in programming languages such as Java, Scala, Python, and shell scripting and Linux ecosystem
  • SQL is your second mother language
  • Good knowledge of database structures, model, theories, principles, and practices
  • Minimum 3 years of experience in Big Data development using Apache Hadoop Ecosystem
  • Bachelor’s degree or higher preferably in the field of engineering, computer science or statistics/mathematics
  • Fluent English is a must, fluent Finnish preferred
  • Experience in cookies and other digital identificators
  • Experience in Google-tools such as Google Analytics
  • Media/Advertising industry experience is a huge plus
  • Experience with Knime Analytics Platform or similar advanced platforms
  • Experience with data visualization and BI tools such as QlikSense and/or Tableau
  • Ecosystem related certifications (Hadoop, AWS, Tableau, Google)
50

Big Data Developer Resume Examples & Samples

  • Eagerness & Hunger to learn
  • Good problem solving & decision making skills
  • Effectively handle multiple and complex work assignments, while consistently deliver high quality work
51

Big Data Developer Resume Examples & Samples

  • Part of Big data delivery team to help implement the new data lake platform; define & implement a data integration and workflow framework that provides for the loading of data, data integration, quality management, aggregation, joins etc. and distribution to various systems using advanced Big data technologies
  • Develop and Design data processing workflows adhering to our platform guidelines and standards in order to satisfy the functional and non-functional requirements for extract, load and transformation routines
  • Ensure, in collaboration with Solution Designer and platform manager, scalable and high performance solutions
  • Provide application support for IT related problems in the area of data processing workflows
  • Develop and maintain scalable data management and analytic solutions using Hive, Hbase , Informatica etc
  • Participate in the research, design and development of scaling strategies for our very large and growing data assets
  • Hands on technical role; contribute to all phases of the software development lifecycle, including the analysis, architecture, design, implementation, and QA
  • Constant learning and application of the newest features to ensure up to date solutions
  • Write technical documentation to ensure maintainability of developed application
  • Support Analysis & Design process from a technical and feasibility point of view
  • Ensures peer reviews and unit tests are prepared and conducted across the entire team
  • Responsible for provision of effort estimates required to develop software
  • Transition Structured Query Language (SQL) and file system application data stores to a Big Data scalable framework where appropriate
  • Ensures compliance with statutory and company procedures, including security policies
  • Maintains an understanding of relevant industry trends and current knowledge of the Big data technology deployed in the business area
  • Follows all change control procedures and puts in place full version control and configuration management to ensure that the production service is not compromised
  • A very strong SQL/data analysis or data mining background, experience with Business Intelligence, Data Warehousing, common/reusable components, Audit Controls, ETL Framework
  • Solid understanding of large scale data management environments (relational and/or NoSQL)
  • 3 Years of experience in building massively scalable distributed data processing solutions with Hadoop, HBase & Hive
  • Demonstrable knowledge of Continuous Integration/Test Driven Development and Code Analysis including its application within the software development lifecycle
  • 2 years of experience in the development of ETL routines preferably Informatica Big Data edition
  • Experience in the development and configuration of RESTAPIs
  • Experience in agile IT development methodologies (e.g:. SCRUM)
  • Prior experience working in a financial services environment desirable, preferably insurance
  • Ability to work effectively in a global organization, under time pressure and to manage ambiguity
  • Bachelor Degree (IT), Master degree or Technical Diploma or equivalent
  • Good English skills (Written & Oral)
  • Strong knowledge of Informatica PowerCenter toolset
  • Very high desire to constantly learn and improve the usage of the ETL tools to achieve best in class results for the solutions
  • Any proven certification/training in Informatica PowerCenter, Informatica BDE, IDQ
  • Able to work under pressure in a multi-vendor and multi-cultural team
  • Flexible, agile and adaptive to change
  • Customer-focused approach
  • Attaining of goals
  • Innovation
  • Deep commitment
52

Big Data Developer Resume Examples & Samples

  • Must Have Experience with Spark
  • Must Have Experience with Hive
  • Must Have Experience with Pig
  • Must Have Experience with Scala
  • Must Have Experience with AWS.Search Jobs US
53

Big Data Developer Resume Examples & Samples

  • Gathering requirements, analysis of entire system and providing estimation on development, testing efforts
  • Coordinating with team to assign tasks and monitor team deliverables to meet project time lines
  • Writing UNIX shell scripts to load the data from different interfaces to Hadoop
  • Writing Sqoop scripts to import, export and update the data to RDBMS
  • Minimum 6+ years of IT experience development with regard to Big Data Platform in must
  • Proficiency with Java, Python, Scala, HBase, Hive, Map Reduce, ETL, Kafka, Mongo, PostgreSQL, Visualization technologies etc
  • Java is preferable and also should have UI experience
  • Understanding of automated QA needs related to big data
54

Big Data Developer Resume Examples & Samples

  • Experience from Big Data development and Business Intelligence Systems
  • Good database knowledge (preferably Oracle or PostgresSQL)
  • Experience from the Hadoop Ecosystem in particular HDFS, Spark, Presto, Parquet file format
55

Big Data Developer Resume Examples & Samples

  • Provide guidance and direction to bring less-seasoned staff
  • Over all 8 + years of experience in large development initiatives
  • 6+ years of experience in developing high volume Java, J2EE & Database applications
  • Highly experienced in delivering project using Agile methodology
  • Experience in developing Talend Jobs in Bigdata Platform
  • Experience with MS Office (Visio, Outlook, Excel and Word)
56

Big Data Developer Resume Examples & Samples

  • Experience on the architecture, design and development of a massively scalable, fault-tolerant IoT Platform for managing IoT Gateways, Sensors and Actuators
  • Experience on the design and implementation of the JSON based REST Service API’s hosted on IBM’s BlueMix Cloud Service to manage a very large number of Sensor Networks, Gateways, Sensors and Actuators
  • Tested, (including gateway products) deployed and scaled each and every aspect of an IoT solution
  • Worked with difference IoT Sensors e.g., equipment, fleet, home, health etc
  • Developed Cloud Apps or web-based enterprise applications on front end (html5 / jQuery) & backend (Java/node.js)
  • Strong programming good tec. skills on Java/XS/UI5
  • Experience in designing, developing & debugging scalable solutions using C++/M2M/IoT/MQTT technologies
  • Experience integrating IoT protocol with Hbase, Cassandra, Time Series Database, Spark
  • Experience using MQTT protocol with the Hub and Spoke Architecture to collect data from large networks of small devices needing to be monitored or controlled from the cloud
  • Experience using device data with Data Distribution Service (DDS) to distribute data to other devices or using the direct device-to-device bus communications with a relational data model
  • Expert in Object Oriented Design, design patterns, programming, Multi-threading, Applications
  • Working experience with technologies: HTTP, HTML, JavaScript, TCP/IP networking, SSL/TLS/Certificates, Java, JSON/SOAP/RESTful web service is an advantage
  • Experience with Software Development using the Agile model
  • Background: Bluemix, Jasper, Windriver, Alcatel IoT, Allseen
57

Forecasting Big Data Developer Resume Examples & Samples

  • Serve as the technical subject matter expert on designing and developing high performance analytical models for balance sheet and P&L forecasting using Python
  • Develop scalable and flexible integration solutions with external modules/components provided by the LOB technology teams
  • Work closely with business analysts, quantitative research team, and business users to interpret the requirements and evaluate alternative solutions
  • Create technical design recommendations for developing and integrating programs per written specifications
  • Perform unit testing and system integration testing of the newly developed functionality
  • Help set development standards in areas of best practices, code quality, test coverage, monitoring, logging, exception management, and others
  • Conduct code reviews on components and applications to ensure adherence to the development standards and best practices
  • Collaborate and build relationships with other development teams, operate and operations partners, and business clients
  • 2+ years of advanced Python skills (deep understanding of language internals, profiling, best practices)
  • Proficient in Python extensions for Scientific Computing (e.g. numpy, pandas, cython, numba, theano, f2py)
  • Strong skills in statistics, math, or similar quantitative field
  • Very good understanding of object oriented design patterns and Python idioms; software engineering background a plus
  • Experience with ETL/DBMS, preferably Oracle, PL SQL
  • Experience in model development economic capital, ICAAP/CCAR, operational risk, liquidity risk, or ALM a plus
  • Thorough knowledge of statistics and econometrics and experience with statistical software (SAS, R) highly desirable
  • Experience with proprietary Python frameworks (e.g. JPMC’s Athena, Bank of America’s Quartz) desirable
  • Knowledge of C++, Fortran, OpenMP, and MPI desirable
  • Experience with high performance computing, grid computing, distributed data caches and risk pricing
  • Knowledge of version and revision control practices and procedures
58

Big Data Developer Resume Examples & Samples

  • Analyzes, programs, debugs, and does ongoing modification to selected areas of a software component, under the mentorship of more senior staff
  • Using the required programming languages and other technologies, writes code, completes programming, and performs testing and debugging of application components
  • Completes internal documentation and procedures for ongoing maintenance of the code and for the use of the code by other developers
  • Develops and/or executes implementation according to the project plans and priorities provided by more senior staff
  • Novice level knowledge of engineering tools, methods and processes
  • Ability to communicate technical information to internal audiences
  • Professional demeanor to maintain and enhance relationships
  • Strong service and teamwork skills
  • Works on projects of limited complexity
  • Ability to develop resolutions to problems of limited scope and follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained
  • Ability to use technical concepts to solve routine problems
  • Performs under direct management, supervision, and mentoring of a Senior Engineer or higher
59

Big Data Developer Resume Examples & Samples

  • Performing all phases of software engineering including requirements analysis, application design, and code development and testing
  • Reviewing code and providing feedback relative to best practices, performance improvements etc
  • Demonstrating substantial depth of knowledge and experience in a specific area of Big Data and Java development
  • Bachelor's degree or equivalent experience in a related field
  • 6+ consecutive years in the software engineering profession
  • 3+ years of hands-on expertise with UNIX shell scripts and commands
  • 3+ years of hands on expertise with SQL writing queries and RDBMS
  • 2+ years of hands on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG)
  • 2+ years of experience with Agile/Scrum methodology
  • Splunk, and Talend
60

Big Data Developer Resume Examples & Samples

  • Participate in detailed technical design, development, implementation and support of Big Data applications using existing and emerging technology platforms
  • Work with large streams of data with tools like Hadoop, Spark, Kafka, Flume, and Cassandra
  • Bachelor’s degree or equivalent years of experience (focus in technical field a plus, for example: engineering, mathematics, statistics, computer science or related field) plus at least 5-10 years of professional experience
  • 5+ years of experience developing Java based software solutions
  • 2+ years of experience with Apache Hadoop tools
  • 2+ years of experience with NoSQL implementation, including stream processing
  • 2+ years of experience building data pipelines
  • Postal or mailing industry experience
  • Experience with Apache Cassandra
  • Familiarity with Agile development practices
  • Experience programming in Scala
61

Big Data Developer Resume Examples & Samples

  • Development (Coding) for Vertica, Hadoop, Spark and Informatica
  • Implementing best practices/standards for development and production releases
  • Working closely with plan teams and business aligned technology teams
  • Working closely with operate teams, understanding JPMorgan DevOps practices and aligning releases accordingly
  • 8-10 years experience in the field of Technology development
  • Hands-on experience on Vertica, Informatica, Hadoop, Spark
  • Bachelor's or Master's degree in Information and computer Science or equivalent an practical work experience
  • A "can do" attitude
  • Be able to adjust quickly to changes
  • Very Good verbal and written communication
  • Organization skills, be able to prioritize task base on priority level
  • Bringing Innovative and practical ideas
62

Big Data Developer Resume Examples & Samples

  • Bachelor’s degree in a related field
  • Prior experience working within the federal contracting arena
  • Prior experience working at a client site
63

Big Data Developer Resume Examples & Samples

  • Agile developer with experience in .NET or Scala
  • Willignes to communicate with colleagues from other countries
  • Team player
  • Colleague who is interested in new technologies as Windows Azure, Spark, Scala, Big Data, Cassandra, Internet of Things and who is open to learn latest technologies in IT
64

Big Data Developer Resume Examples & Samples

  • Create and maintain data flow diagrams, entity relationship diagrams, system diagrams, business and logical systems integration as it pertains to Analytics/Business Intelligence and big data systems
  • Collaborate with our Enterprise Architecture team to ensure that the defined architectures align with other architecture domains (e.g. infrastructure, EDW, security, etc)
  • Three years of software development experience scaling applications on big data platforms
  • Demonstrated experience translating business and technical requirements into comprehensive data reporting strategies and analytic solutions
  • Bonus for experience working with Concurrent’s Driven Platform
  • Excellent communication and interpersonal skills as well as leadership and management abilities
  • Bachelor’s Degree in Computer Science, Mathematics, Engineering or related field/equivalent experience
  • 3+ years of IT experience, 2 years focused in areas of Big Data development and operation
  • 2+ years’ experience on a Hadoop distribution (Cloudera preferred)
  • Experience with one or more of Hadoop-capable BI tools such as Datameer, Platfora, Splunk/Hunk or similar
65

Intern, Big Data Developer Resume Examples & Samples

  • Strong development experience with Hadoop and its components like HDFS, Map Reduce, Apache Spark, Hive, Sqoop, and HBase
  • HANA Cloud platform Integration experience with Hadoop and Spark
  • Experience in High interest to work in Big Data Technologies and Data Analytics. Good exposure on Big Data problems solution Hadoop Framework
  • Hands on experience trouble shooting the Hadoop Distributed File System, Apache Spark
  • Integration with SAP HANA and HANA cloud Platform using Spark Adapter
  • Must have good Experience in writing Map Reduce Java and HIVE queries & scripts. Proficient knowledge of Spark landscape
  • Must have good experience in using development web crawling tools like Python Api and web-scraping program. Exposure to eclipse IDE 3.x and Net Beans 6.5 and Web crawler’s tools to collect/mine data from the Internet to convert to csv
  • Application development experience in Java/ J2EE
  • Development experience with the UNIX shell scripts for creating the reports from Hive data. Written Map Reduce code that will take input as log files and parse the logs and structure them in tabular format to facilitate effective querying on the log data
66

Big Data Developer Resume Examples & Samples

  • BS/MS Degree in Computer Science or equivalent
  • 3+ years relevant work experience with Enterprise Software Development
  • Experience with Java, Scala and/or Python (optional but desirable)
  • Able to work onsite in Palo Alto, CA. No relocation offered
67

Big Data Developer Resume Examples & Samples

  • Experience with Hadoop, Spark and the HDFS Ecosystem
  • Experience with Core Java, Scala, Python, R
  • Experience on Relational Data Base Systems(SQL) and Hierarchical data management
  • Experience with Map Reduce
  • Experience to ETL tools such as Sqoop and Pig
  • Finance Industry experience (institutional securities business would be a plus)
  • Experience on working with different caching strategies
  • Experience on working with multiple solutions for data movements such as – file copy, pub-sub, ftp, etc
  • Experience with batch processing
  • Experience working with Hortonworks or Cloudera (preferred)
  • Data Torrent / Apex and Pentaho is a plus
  • Experience with streaming processing is a plus
  • Exposure to encryption tools (HP Voltage) is a plus
  • Exposure to NoSQL store is a plus
68

Big Data Developer Resume Examples & Samples

  • Designing/implementing product features in collaboration with business and IT stakeholders
  • Providing alternative design solutions and project estimates
  • Reviewing code/providing feedback relative to best practices, performance improvements etc
  • Troubleshooting production support issues post-deployment and come up with solutions
  • 2+ years of hands on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG,
  • 2+ years of Agile / Scrum methodology experience
  • Rally
69

Big Data Developer Resume Examples & Samples

  • Work with business stakeholders to understand requirements / business use cases
  • Design and develop dashboards / reports / data discovery workflows / analytics solution using big data analytics tools such as Splunk, AtScale, and Platfora & Tableau
  • Develop data pipelines to consume data from Enterprise Data Lake (MapR Hadoop distribution - Hive tables/HDFS) for analytics solution
  • Perform functional and performance testing
  • Deploy big data solutions into production
  • Work with Infrastructure team in deploying solutions into production
  • Implement projects / use case in agile environment
  • Responsible for maintaining & monitoring data quality for Analytical dashboards / reports
  • Contribute to Knowledge repository by documenting technical design considerations, best practices, business workflows, project documentation, troubleshooting guide etc
  • Provide business user support. Troubleshoot production problems / functional issues with data visualization & discovery tools
  • Implement process improvements (Automation, Performance tuning, Optimize workflows)
  • Collaborate with business and IT partners such as Infrastructure team, Vendor team, internal teams and offshore team
  • Work with offshore team
  • Guide offs - shore team
  • 2+ years in big data technologies ( MapR - Hadoop, Hive, Sqoop, Talend )
  • 2 + years in design and developing data visualization & discovery solutions (Dashboards/Reports/Analytical workflows) using tools such as Splunk / Hunk or AtScale or Tableau
  • 6 month or more of experience working in Agile environment
  • 6 months or more in providing big data production support
  • Splunk / Hunk experience is a bonus point
  • Healthcare Industry
  • MAPR / Hive / Spark / Talend
70

Big Data Developer Resume Examples & Samples

  • Refactor an existing system built using Hadoop plaform
  • Fine tune performance of the components and process bottle bottlenecks
  • Implement MapReduce model for processing big data sets with a parallel, distributed algorithms on a cluster
  • Collaborate closely with Big Data experts, environment team, UI developers functional analysts and user leads
  • Hands-on in developing solutions utilizing the Hadoop ecosystem such Hadoop, Spark, Hive, Pig, Sqoop, Oozie, Storm, Kafka
  • Experience in building and running enterprise-wide systems
  • Strong in Unix, shell scripting
  • Advanced English
  • Experience in projects delivered by Luxoft
71

Big Data Developer / Data Engineer Resume Examples & Samples

  • Create, Configure, Implement, Optimize, Document, and/or Maintain
  • College degree or equivalent experience
  • 3+ years in application development experience
  • 1+ years of Hadoop development experience
  • 1+ years Talend development experience
  • 1+ years of prior Health Care Industry experience
  • Experience with MapR
  • Experience with Big Data technologies: MapR, Hive, HBase, SQL
  • Experience with Change Data Capture techniques
  • Experience with Unix shell scripting
  • Experience leading/mentoring other developers
  • Experience working with Data warehousing and ETL Technology
72

Big Data Developer Resume Examples & Samples

  • Over all 3+ years of experience in big data coupled with 8 years overall IT experience
  • 1+ years of experience in developing distributed computing systems applications such as: Hadoop, MapR, Hbase, Hive , Java/MapReduce, Datasynapse, Pig, Storm,Kafka,Flume,Sqoop, Cloudera & Hortonworks, high volume Java, J2EE & Database applications
  • 1+ years of ETL experience preferably utilizing Talend
  • 3+ years of experience troubleshooting performance issues, SQL tuning
  • 1 + years experience with shell scripting using Unix, PERL or Python
  • Experience with data base technologies such as: Teradata, Oracle, SQL Server, DB2, Netezza and GreenPlum
  • 1+ years of experience job schedulers such as: TWS/d
  • Bachelors degree (or higher) OR equivalent experience
73

Big Data Developer Resume Examples & Samples

  • 5+ years of software development experience
  • Experience with Java and C programming
  • Solid knowledge on big data framework: Hadoop, HDFS, Apache Spark, Hive, Map/Reduce and Sqoop etc
  • Knowledge on relational database and SQL
  • Experience with system design and performance analysis skills
  • Experience with development on Linux environment
  • Good communication skills, self-initiative, responsive and responsible
74

Big Data Developer Resume Examples & Samples

  • Design & implement data integration and Data Warehouse based solutions using Big Data technologies such as Hadoop
  • Technical implementation of business requirements & E2E designs based on system capabilities
  • Ensure the solutions being defined are reusable and follow standard design patterns and architecture principles of Hadoop
  • Lead on defect resolution and help the support teams
  • Provide guidance in Live Issue resolution and RCA Reviews
  • Be proactive in working with the support team and identifying opportunities for service improvement
  • Big Data service layer automation providing seamless integration into Barclays systems
  • Active participation / lead in daily scrum
  • Ownership of defects & work closely with Tech Lead/developers to review code & contribute as required
  • Contribution in service improvement
  • Keeping stakeholders informed on progress against milestones, risks, issues & dependencies
  • Encourages others in working towards the organization goals
  • Inspires confidence by making and honouring commitments, demonstrates initiative and competence
75

Big Data Developer Resume Examples & Samples

  • Implement Data integration and Data Warehouse based solutions using Big Data technologies such as Hadoop
  • Develop reusable solutions that follow standard design patterns and architecture principles of Hadoop
  • Defect resolution and help the support teams
  • Implement reusable solutions that adhere to pre-defined patterns as outlined by Portfolio Design Lead and/or Architecture teams
  • Active participation in daily scrum
76

Big Data-developer Resume Examples & Samples

  • Acquire data from primary or secondary data sources
  • Innovate new ways of managing, transforming and validating data
  • Apply quality assurance best practices to all work products
  • Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget
  • Comfortable learning cutting edge technologies and applications to greenfield projects
  • Minimum 2+ Experience in a Big Data technology (Hadoop, YARN, Sqoop, Spark SQL, Nifi, Talend, Hive, Impala, etc.)
  • 6+ years of Experience in Java Development
  • Experience in implementing complex ETL transformations in Hadoop platform
  • Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
  • Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc
  • Experience transitioning data marts from Oracle to Hadoop
  • Experience with Microservices integration is a plus
  • Experience of transitioning from Oracle SQL to Hadoop, Hive, Impala, etc. would be an added advantage
  • Ability to manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever-evolving business needs
  • Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations
  • Financial Services and Commercial banking experience is a plus
77

Big Data Developer Resume Examples & Samples

  • Bachelor's degree in a technical or quantitative field with preferred focus on Information Systems
  • 3-5+ years of Experience in Java Development
  • 2+ years of Experience with Python is preferred
  • Experience in writing SQL's
  • Strong Experience with UNIX shell scripting to automate file preparation and database loads
  • Experience in implementing distributed and scalable algorithms (Hadoop, Spark) is a plus
  • Experience with multiple reporting tools (QlikView/QlikSense, Tableau, SSRS, SSAS, Cognos) is a plus
  • Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems
  • Must be able to communicate complex issues in a crisp and concise fashion to multiple levels of management
  • Identify, analyze, and interpret trends or patterns in complex data sets
78

Big Data Developer Resume Examples & Samples

  • Bachelor’s degree is required
  • A minimum of 3 years working with HBase/Hive/MRV1/MRV2 is required
  • A minimum of 2 years working with Hadoop
  • Experience working with Apache Spark, Storm, Kafka is preferred
  • Experience in integrating heterogeneous applications is required
  • Experience working with Systems Operation Department in resolving variety of infrastructure issues
  • Experience designing and supporting RESTful Web Services is required
  • Knowledge and understanding of SDLC and Agile/Scrum procedures, processes and practices is preferred
79

CB Tech Big Data Developer Resume Examples & Samples

  • Minimum 3+ Experience in a Big Data technology (Hadoop, YARN, Sqoop, Spark SQL, Nifi, Talend, Hive, Impala, Oozie etc.)
  • 8+ years of Experience in Java Development
  • 2+ years of Experience with Python
  • Strong Knowledge in Hadoop 2.0 Architecture
  • Experience performing data analytics on Hadoop-based platforms
  • Experience to ETL tools
  • Experience in Map Reduce
  • Experience in Dev Ops - CI, TDD etc.,
  • Experience in Agile Scrum Development
  • Familiarity with NoSQL database platforms is a plus
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus
  • Strong development discipline and adherence to best practices and standards
  • Transforming existing ETL logic into Hadoop Platform
  • Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
  • Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred
80

Big Data Developer Resume Examples & Samples

  • Technical experience with HIVE, QL, HDFS, MapReduce, Apache Kafka, Python, Podium Data
  • Experience with SQL, PL/SQL
  • Experience in implementing TDD/BDD
  • Database experience with Oracle 12, SQL Server
  • Knowledge on Clinical domain is added advantage
  • Ability to work in a high-pressured, tight-deadline environment
  • Must work well in a team environment as well as independently
  • Experience w/ Agile Methodologies
  • Strong DB experience is mandatory
  • Has full technical knowledge of all phases of application/system scope definition and requirement analysis
  • Excellent communication and inter-personal skills
  • Agile and SDLC experience – at least 2+ years
  • Forward thinking, independent, creative, self-sufficient and go-getter; who can work with less documentation, has exposure testing complex multi-tiered integrated applications
81

Big Data Developer Lead Resume Examples & Samples

  • Strong experience in Data analysis, ETL Development, Data Modeling, and Project Management with experience in Big Data and related Hadoop technologies
  • Ability to collaborate with peers in both, business, and technical areas, to deliver optimal business process solutions, in line with corporate priorities
  • Experience in developing Talend DI and Map-Reduce jobs using various components
  • Experience in developing Java Map-Reduce programs, HBase Java API programs
  • Experience developing Talend Custom Components, like tHDFSMove, tHBaseGetBatch, etc. for performance improvements
  • Bring strong communication skills including oral, written and presentation skills plus creativity, and problem solving skills to a challenging environment
  • Develop complex Big Data Talend jobs using Talend Studio client components
  • Develop Datafabric 2.0 MetaData framework user interface(UI) solutions and validation using UIToolKit to load configuration tables that are needed in framework to HBase database
  • Create Talend jobs and Unix scripting to capture using Change Data Capture application for full and incremental entity feeds based upon the Unix Regex pattern and transform to Hadoop file system
  • Bachelor's degree (or higher)
  • 9+ years of experience in IT industry in the field of Software Development, Data Warehouse, with around 3+ years’ experience in Big Data, Hadoop ecosystem, Data Integration /Ingestion using Talend 5.6.2/6.2.1
  • 2+ years of experience with complex shell scripting using Unix & Python
  • 1+ years of experience in developing distributed computing systems applications using Hadoop, Hbase, Hive , Java/MapReduce, Spark, Scala, Storm,Kafka,Flume,Sqoop & Pig
  • Experience with multiple file structures and programming languages
  • Thorough understanding of technological infrastructure and how it relates to projects
  • Experience with TWS/d job scheduler automation tool
  • Healthcare domain background
  • In-Depth understanding and extensive experience in Hadoop ecosystem and its numerous components namely HDFS file System, MapR-FS, Resource Manager,Job Tracker, Task Tracker, NameNode, Data Node, Name containers,Region server,Zookeeper and MapReduce programming model
82

Big Data Developer Resume Examples & Samples

  • 8+ years of experience in large development initiatives 6+ years of experience in developing high volume Java, J2EE & Database applications
  • 1+ years of experience in developing distributed computing systems applications using Hadoop, Hbase, Hive, Java / MapReduce, Spark, Scala, Storm, Kafka, Flume, Scoop & Pig
  • Experience in developing Talend Jobs in Big Data Platform
83

Big Data Developer Lead Resume Examples & Samples

  • Work on a multi-year strategic initiative and deliver technical solutions that will support Incremental and regional processing, flexible data analysis tools, trend analysis, full data transparency and drilldown, dynamic assumptions, workflow, fully automated explains
  • Follow SDLC best practices such continuous integration, automated unit test and regression testing, etc and focus on end to end quality of the delivery
  • Work collaboratively in a team with fellow developers, sharing ideas to solve complex and challenging business problems
  • B.S. or M.S. in computer science, information systems, math, business, or engineering
  • 9+ years of professional experience
  • Agile/Scrum methodology
  • Strong OO skill – Python, Java, Scala
  • Experience with big data technologies such as Spark, Hadoop, Impala, Sqoop, Oozie
  • Experience with database technologies – Oracle, SQL, Stored Procedures
  • Familiar with Agile methodologies such as SCRUM, LEAN, etc
  • Familiar with development tools such as Jenkins, Rundeck, SVN/Crucible/Jira, Git/Stash, etc
84

Big Data Developer Resume Examples & Samples

  • Self-service data: Creation of web-based mechanisms for accessing processed data by non-technical users
  • Building data processing systems with Hadoop and Hive using Java or Python should be common knowledge to the big data engineer
  • He or she should be able to decide on the needed hardware and software design needs and act according to the decisions. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions
  • As expert on big data, she will advice about optimal platform configuration or tuning for the specific workloads designed in each of the environments
85

Junior Big Data Developer Resume Examples & Samples

  • RocksDB
  • Unix / Linux skills
  • UML
86

Big Data Developer Resume Examples & Samples

  • Work with client and business analysts to review their business requirements
  • Design and develop data ingestion, integration and distribution components using Spark, Impala, Hive and other technologies in Big Data echo system
  • Identify and document Data Quality rules; design and prototype solution to identify Data Quality issues using advance analytics
  • Build and deploy tools / frameworks using Tableau, Zeppelin and Jupyter to support Analytics capabilities across LCR Technology
  • Bachelor?s or Master?s degree in Computer Science, Software Engineering, Information Technology
  • 2+ years of experience in Big Data technologies - Spark, Scala or Python or Java, Impala, Hive or other related technologies
  • Hands on programming experience in Spark including but not limited to data transformation, enrichment, compute etc
  • Experience or understanding of deploying common machine learning algorithms on Spark using Spark MLib, DL4J or other frameworks
  • 3-8 years of hands on software development using Java or Scala or Python
  • Strong SQL and exposure to any RDBMS platforms (DB2/Sybase/ Greenplum/Oracle etc)
  • Practical knowledge of Shell or Perl Scripting
  • Strong data analysis and analytical skills
  • Working knowledge of statistical and machine learning concepts (Linear regression, Logistic Regression, multivariate analysis, Neural Networks etc.)
  • Experience in setting up analytics notebooks in Zeppelin or Jupyter in an enterprise environment
  • Performance tuning Spark applications
87

Talend / Big Data Developer Resume Examples & Samples

  • Architect, design, construct, test, tune, and deploy ETL infrastructure based on the Hadoop ecosystem based technologies
  • Work closely with administrators, architects, and application teams to insure applications are performing well and within agreed upon SLAs
  • Work closely with Scrum team and Data Scientist teams to achieve company business objectives
  • Collaborate with other technology teams and architects to define and develop solutions
  • Lead/mentor developers in setting ETL architecture, design, and development standards
  • Research and experiment with emerging ETL technologies and tools related to Big Data
  • Contribute to the Big Data open source ecosystem
  • Work with the team to establish and reinforce disciplined software development, processes, standards, and error recovery procedures are deployed; ensuring a high degree of data quality
  • Maintain, tune, and support the ETL platform on a day-to-day basis to insure high availability
  • This is a hands-on role; you will lead by doing
  • Experience within the Life Insurance industry space preferred
  • Excellent technical and organizational skills
  • Proficiencies with Agile development practices
  • Experience with and strong understanding of Data Warehousing and Big Data Hadoop ecosystems
  • Experience translating functional and technical requirements into technical specifications and design
  • Knowledge and experience of ELT for Data Lake to ETL for the data servicing layer life cycle
  • Experience with ELT/ETL batch, real-time, streaming, and messaging
  • Experience with one or more of the following: Talend, AB-Initio, Informatica/Data Exchange
  • Experience with Hadoop Map Reduce loading into a Data Warehouse
  • Experience with HBase, Cassandra, DynamoDB, CouchDB a plus
  • Experience with RDBMS technologies and SQL languages, Oracle & SQL Server a plus
  • Experience with NoSQL platforms a plus
  • Experience with Cloud solutions including admin. / deployment of data in AWS or Azure a plus
  • Working knowledge of ACORD modeling a plus
  • Working knowledge of web technologies and protocols (JAVA/NoSQL/JSON/REST/JMS) a plus
  • The position calls for a seasoned IT professional with senior leadership qualities and background with a minimum of 10 years’ experience in IT
  • 6+ years of experience building and managing complex ETL infrastructure solutions
  • 6+ years of experience with distributed, highly-scalable, multi-node environments utilizing Big Data ecosystems
88

Big Data Developer Resume Examples & Samples

  • Participate in the development of strategic goals for leveraging our Data and Analytic platform
  • Develop program logic in Java for new applications or analyses and modifies logic in existing applications,
  • Develop, test, debug in a Java/Linux environment
  • Working closely with the customers, Business Analysts, Testers and Project Managers in global environments to support the design of new and existing functionality-
  • Provide technical support in a defined project
  • Excellent and proven Java software development skills
  • Excellent and proven SQL development skills
  • Good database knowledge (preferably PostgreSQL and Oracle)
  • C++ software development skills
  • Software development and design experience from distributed high performance systems
89

Big Data Developer Resume Examples & Samples

  • Having exposure on the Cloudera Manager, Cloudera Navigator, Hue, Shell Scripting, Apache Pig and Python
  • Good understanding in XSD, XML and JSON schemas
  • Exposure on Graph Databases
  • Technical Leading Skill and exposure as Enterprise Architect will be value added
  • Worked on IT security and standardization for Hadoop related technologies
  • Integrating Hadoop with Oracle and NoSQL databases
90

AWS Big Data Developer Resume Examples & Samples

  • 3+ years of experience in Large Scale, Fault Tolerance Systems with components of scalability, and high data throughput with tools like Kafka, Storm, Flink, and Spark, and NoSQL platforms like HBase and DataStax
  • 3+ years of experience in Data Queue and Transactional management using tools like Kafka and ZooKeeper
  • 2+ years of experience with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Ruby, Perl, Python
  • 3+ years of Hands-on Development Experience in AWS, knowledge and experience in coding on the varied AWS services like, Lambda, S3, AMI, Cloud Formation, Cloud Watch, EMR, and Cloud Trail
  • 3+ years of experience in End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade like: Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
  • 3+ years of experience in Large Scale, Fault Tolerance Systems with components of scalability, and high data throughput with tools like Kafka, Storm, Flink, and Spark, and NoSQL platforms such as HBase and DataStax
  • 3+ years of experience in building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozie, Sqoop, Pig, Hive, Flume, HBase, Avro, HBase, Parquet, Storm, Spark, NiFi
  • Experience in working with Team Foundation Server/JIRA/GitHub and other code management toolsets
  • Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates Ability to learn and develop skills as needed to support services outside of this job description and prove with prior examples
  • Familiarity with ETL and data transfer technologies like Talend, Informatica, SnapLogic and/or Nifi
  • Working knowledge on building and working on/around data governance standards
  • Passion for working with open-source technologies as well as commercialized platforms
91

Big Data Developer Resume Examples & Samples

  • Develop techniques to process and analyze events on a real-time streaming platform
  • Work closely with marketing to implement and expand data connections for email marketing purposes
  • Design and implement high-performance data models in NoSQL database technologies
  • Develop and configure Hadoop / Big Data components (e.g. Oozie, Cascading, Spark)
  • Develop quality scalable, tested, and reliable data services using industry best practices
  • Create and maintain quality software using best-in-class tools: Git, Splunk, New Relic, Sonar and TeamCity
92

Data Analytics / Big Data Developer Resume Examples & Samples

  • 1) Bachelor of Science degree in Computer Science or Computer engineering - specifically with a focus on software development as opposed to network engineering. Any degree, regardless of major, that provided substantial amounts of focus on data analytic, software engineering or big data will also suffice
  • 2) Two years or less (internship experience is ideal) with software development, database management or business analyst/analytic
  • 3) Experience working directly with business stakeholders and/or providing customer service in a formalized environment
  • *Important***
93

Big Data Developer Resume Examples & Samples

  • 3+ years of experience in End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade: Hadoop, Storm, Hive, Pig, AWS (EMR, Redshift, S3, etc.)/Azure (HD Insight) and Data Lake Design
  • 3+ years of experience in building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozie, Sqoop, Pig, Hive, Flume, HBase, Avro, HBase, Parkequet, Storm, Spark, NiFi
  • 3+ years of experience with NoSQL solutions and capacity for understanding Graph, Key Value, Tuple Store, Columnar Memory, and in-memory functionality
  • Hands-on experience with DevOps solutions like: Jenkins, Puppet/Chef/Ansible, Azure CloudFormation, Docker and MicroServices architectures
  • Operations support with a solid understanding of release, incident, and change management
  • Need someone who is a self-starter and team player, capable of working with a team of strategists, co-developers, and business/data analysts
  • 2+ years of Hands-on Development Experience in AWS, knowledge and experience in coding on the varied AWS services like, Lambda, S3, AMI, Cloud Formation, Cloud Watch, EMR, and Cloud Trail
  • 2+ years of experience in End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade like: Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
  • 2+ years of experience in Data Queue and Transactional management using tools like Kafka and ZooKeeper
  • 2+ years of experience in Large Scale, Fault Tolerance Systems with components of scalability, and high data throughput with tools like Kafka, Storm, Flink, and Spark, and NoSQL platforms such as HBase and DataStax
  • 2+ years of experience in building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozie, Sqoop, Pig, Hive, Flume, HBase, Avro, HBase, Parquet, Storm, Spark, NiFi
  • 2+ years of experience with NoSQL solutions and capacity for understanding Graph, Key Value, Tuple Store, Columnar Memory, and in-memory functionality
  • AWS Developer or Architect Certifications (Preferred by Amazon, but 3rd Party Considered)
  • Hands-on experience with DevOps solutions like: Puppet, Cloudformation, Docker and some microservices
  • Ability to work as a collaborative team, mentoring and training the junior team members
  • Bachelor’s Degree with a minimum of 3+ years relevant experience or equivalent
94

Big Data Developer Resume Examples & Samples

  • Contributing member of a high performing, agile team focused on next generation data & analytic technologies
  • Developing distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Storm, NIFI and Kafka
  • Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of end user capabilities
  • Utilizing programming languages like Java, Scala, Python with an emphasis in tuning, optimization and best practices for application developers
  • Assist application development teams during application design and development for highly complex and critical data projects
  • Hadoop experience - performance tuning and monitoring clusters in an enterprise production environment
  • Operationalize data management and governance tools on an open source framework
  • 3+ years JVM-targeted development (Scala / Java)
  • 2+ years’ experience with various tools and frameworks that enable capabilities within the big data ecosystem (Hadoop, Kafka, NIFI, Hive, YARN, HBase, NoSQL)
  • 2+ years’ experience with database management or SQL query development
  • 1+ years Hadoop administration
  • Expertise in coding in Python, Hive, R, Spark, Scala, Java with emphasis on tuning / optimization
  • Familiarity with the Eclipse IDE and plugin ecosystem
  • Experience designing, developing, and implementing ETL and relational database platforms
  • Experience managing code on Github
  • Experience with data mining, machine learning, statistical modeling tools or underlying algorithms
95

Big Data Developer Resume Examples & Samples

  • 5-8+ Years of overall experience with at least 2 years with Big Data tools and technologies
  • Multiple Hadoop Platform implementations
  • Big Data Development using Hadoop Echo system including Pig, Hive, spark, spark streaming and others
  • Analytical and problem solving skills, applied to a Big Data environment
  • Experience with large-scale distributed applications
  • Proven understanding and related experience with Hadoop, HBase, Hive, Pig, Spark, Flume, Hbase and/or Map/Reduce
  • Hands-on experience with related/complementary open source software platforms and languages like Python, Java, scala
  • Traditional Data Warehouse/ETL experience required (SSIS, SQL)
96

Big Data Developer Resume Examples & Samples

  • Work with the business owners to ensure that implemented solutions as well as operational activities satisfy business requirements and are delivered in a timely manner
  • Communicate and work with other IT departments to ensure the needs of business units are met
  • Provide business customer, enterprise-class solutions utilizing varied relational and real-time data sources
  • Communicate project status regularly to development team, project manager, supervisor, and stakeholders
  • Prepare project documentation with and report schedule changes to the project manager or supervisor as needed
  • Identify open issues and risks and determine action/mitigation plans
  • Provide technical design consultation for upcoming/developing projects
  • Transition and provide knowledge transfer to operational support teams upon completion of solutions development
  • Design and develop data models using the big data platform and apply the best practices for optimal performance of the models
  • Manage daily activities, which involve working with existing applications and their owners
97

Big Data Developer Resume Examples & Samples

  • Experience with software development throughout the SDLC
  • Experience with Java
  • Experience with Map Reduce and the Hadoop ecosystem, including Hive and Pig
  • Experience with IC Data tagging
98

Big Data Developer & Administrator Resume Examples & Samples

  • Development, Implementation, and Administration within Big Data platform
  • Design, develop, test, debug, maintain, and document system components
  • Develop time estimates for project deliverables
  • Collaborate with end users and project team members in development of requirements, design, and testing of applications
  • Advise manager of risks, issues, and concerns
  • Learn new software tools and skills as needed
  • Raise opportunities for enhancements and process improvements
  • Knowledge transfer to team members
  • Assist business users and team members on issue resolution and problem solving
  • Participate in test planning, development, and execution for integration and system testing
  • Provide accurate and timely management status of work activity
  • Provide accurate and timely reporting of work hours
  • Establish strong working relationship with business, teammates, and others within organization
  • Provide Production Support during and after business hours, as needed
  • Participate in local Hadoop tech meetups community
  • Work directly with external vendors to resolve issues & perform technical tasks
  • 5 or more years of related experience
  • Strong Software Engineering practices developing enterprise applications – Java, Spring, XML, JDBC/JPA/Hibernate (Senior developer)
  • Hadoop Development and Administration – managing and tuning Hadoop cluster and its ecosystem components (ex: Hive, Pig, Spark, HDFS, Sqoop, Flume, Zookeeper, Kafka, HAWQ, NiFi)
  • Strong SQL and database knowledge (Oracle preferred)
  • Experience in Linux (administration, networking and security)
  • Effective oral, written, and interpersonal communication skills
  • Ability to work effectively with associates at all levels within the organization
  • Demonstrated ability to establish priorities, organize and plan work to satisfy established timeframes
  • Proven ability to handle multiple tasks and projects simultaneously
  • Excellent analytical skills, attention to detail, and problem-solving skills
  • Must be self-motivated and take initiative
99

Big Data Developer Resume Examples & Samples

  • Effectively partner with the Data Insights team to drive usage and improvement of the IntelliStor data asset that drives analytics within JPMIS and for our strategic partners
  • Develop Java code to handle large data sets including JSON, XML and CSV data
  • Write SQL functions to handle data transformations and processing requirements
  • Financial Services background or experience preferred across different LOBs. (Consumer, Commercial, Asset Management & CIB)
  • Proven proficiency with data and quantitative research techniques
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way
  • Intensive, recent experience in assessing and sourcing data needs
  • Detail oriented with a commitment to innovation
  • 5 years’ Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka, Sqoop, HBase) is required
  • 5 years’ experience with MPP databases like Greenplum, Neteza is preferred. Ability to troubleshoot issues and develop functions in an MPP environment is highly desired
  • 3 Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment is highly desired
  • 3 years’ experience with scheduling & data integration tools like Control-M and Ni-Fi is highly desired
  • Proficient in JAVA, Spring and able to produce/consume XML and JSON format
  • Proficient in SDLC process and Agile methodology for project delivery
  • Knowledge of statistics, at least to the degree necessary in order to communicate easily with statisticians is a plus
  • Knowledge of Python or Java development is a major plus
  • Knowledge of industry leading Business Intelligence tools
  • Experience with machine learning is preferred
  • Overall 6+ years of experience
100

Big Data Developer Lead Resume Examples & Samples

  • Ensures Big data development adherence to principles and policies supporting the EDS
  • Able to design data solutions based on varying degrees of detail. Must be flexible and agile to achieve the expected results
  • Design & Build consistent data solutions in a fast paced environment
  • Educate, leverage and enhance the Data Lake to support Advanced Analytics & Innovation
  • Translates business requirements into working features
  • Architect, design, develop, unit test, and document technical solutions
  • Mentors Big Data Developers on best practices and strategic development
  • Provides solutions to current (tactical) problems with permanent (strategic) answers
  • Carries out systematic problem identification, analysis, and resolution
  • Develops and documents technical design specifications
  • Leads technical meetings, as required
  • Conveys ideas clearly and tailors communication based on selected audience (technical and non-technical)
  • Effectively composes technical and non-technical documents such as design specifications, operation guides, process flows, and other technical schematics
  • Writes and updates task/project status and reports
  • Bachelor’s Degree or equivalent business experience in enterprise data and Big Data concepts and technology
  • 4+ years working with and coding in Apache Hadoop, preferably with Cloudera’s distribution
101

Big Data Developer Resume Examples & Samples

  • Strong programming skills in a recognized object-oriented programming language. Examples include, but are not limited to Python, Java, Scala, C#, C++, and Haskell
  • Experience with open source Data technologies (Spark, HBase/Cassandra, Kafka, Hadoop, Mesos, etc.)
  • Familiarity in Unix/Linux development environments & tools including scripting & process management
  • Be able to determine database structural requirements by analyzing client operations, applications and business process
  • Extensive experience with development of the database stored procedures, packages, ETL, views and functions on Oracle DB
  • Strong problem solving ability
  • A team player who can collaborate with all stakeholders with strong interpersonal skills
  • The ability or potential to multitask, prioritize and perform in a front-office environment
102

Big Data Developer Resume Examples & Samples

  • Responsible for design, prototyping and delivery of software solutions
  • Developing functional user interface with HTML, CSS, JavaScript and Angular.JS technologies
  • Responsible for performance tuning and scalability improvements of distributed applications
  • Responsible for designing and building new Big Data systems for analyzing data into actionable insights
  • Responsible for development of advanced analytics solutions and integrating new tools to improve descriptive, predictive and prescriptive analytics
  • Participate in strategic planning discussions with technical and non-technical partners
  • 5+ years of hands-on Java application development experience
  • Proficiency in Eclipse or other Java IDE
  • Experience developing with Angular.JS
  • Experience developing large-scale distributed applications
  • Familiarity and comfort with participating in a high-performing geographically dispersed team
  • Familiarity with source control solutions (ex git, GitHub)
  • Familiarity with Spring framework and the Gradle build toolset
  • Ability to analyze and solve problems in a creative and innovative fashion
  • Demonstrated experience with sound technical design and documentation
  • Hands-on experience developing and integrating with open source software platforms and languages
  • Ability to research and document project design, approach and architecture
  • Works collaboratively with multiple areas and comfortable leading projects and mentoring others
  • Insurance industry experience a plus
  • Sound knowledge of Relational Databases (No-SQL databases is a plus)
103

Big Data Developer Resume Examples & Samples

  • Hands-on expertise with UNIX shell scripts and commands
  • 3+ years of hands-on expertise with SQL writing queries and RDBMS
  • Hands-on expertise with Big data technologies (HBASE, HIVE, SQOOP, PIG)
  • Experience with both Waterfall and Agile / Scrum methodology experience
104

Big Data Developer Resume Examples & Samples

  • Participate in technical planning & requirements gathering phases including design, code, test, troubleshoot, and document big data software applications
  • Ensure that technical software development process is followed on the project, familiar with industry best practices for agile software development
  • Develop applications in languages/environments including Java, Apache Spark, and Amazon AWS
  • Demonstrate the ability to adapt and work with team members of various experience levels
  • Passionate coder with 5+ years of Java application development experience
  • Experience with Java, Apache Spark, and Amazon AWS
  • Strong debugging, problem solving and investigative skills
  • Self-starter who can work independently
  • Bachelor’s Degree in MIS, Computer Science, Math, Engineering or comparable major
  • Strong consulting and communication skills. Ability to work effectively with various organizations in pursuit of problem solutions
105

Big Data Developer Resume Examples & Samples

  • Degree educated with a mathematical / computational degree or similar (Engineering or Physics for example)
  • You have strong interpersonal skills and are fluent in written and spoken English
  • You have ability to engage and communicate with senior management across business and IT functions
  • You are dedicated and eager to be challenged including a demonstrable ability to take ownership of issues and follow through to resolution; also flexible and adaptable, being willing to move focus between components and projects easily
  • Prior experience in the financial services sector and risk technology is beneficial but not essential
  • You demonstrate continuous Integration and Test-Driven Development approach to software development
  • Strong design and development skills on the Java platform, with particular emphasis on core APIs : java.concurrent
  • Java.util.*, java.nio*
  • Extensive knowledge and experience in developing, profiling and maintaining multi-threaded/asynchronous applications
  • JVM monitoring, profiling, performance tuning and debugging. Experience with using analysis tools such as JConsolem JVisualVM, JProfiler or Java Mission Control
  • Java 8 and Functional Design Paradigms. Including knowledge of streams and lambdas (e.g. packages: java.util.stream.)
  • No-SQL databases (in particular sorted key-value stores such as Apache HBase, Apache Accumolo for instance). Apache Spark (or similar analysis tools)
  • Distributed File System and Map Reduce Paradigm
  • Solid understanding of Linux / Windows Operating System fundamentals. From the perspective of application hosting and management
  • Experience with Java Web based technologies and containers (Java EE Web). Knowledge of Apache Tomcat a bonus
  • You have architecture and development abilities in either F# or C#
  • You have a knowledge of Multi-threaded and asynchronous server development
  • Experience with memory and performance profilers
  • Deep understanding of standard containers and algorithms
  • You are experienced with C++ or Python
  • You also posses functional programming experience
  • You have deep understanding of the HTTP stack on windows, and its .NET implementation
  • Experience with large codebases and msbuild
106

Big Data Developer Resume Examples & Samples

  • Ability to work in a cross cultural team with multi geographical locations
  • Ability to communicate (verbal and written) effectively with counterparts and vendors on technical topics
  • Good understanding of design and development standards
  • Strong communication, and collaboration skills
  • 3-5 years of equivalent work experience
  • 2+ yeas of Big Data Related experience (Data Modeling)
  • Hands on Development experience with Java
  • Understanding of best practices and standards for Hadoop application design and implementation
  • Experience with Unstructured Data
107

Big Data Developer Resume Examples & Samples

  • Hands on experience with Storm
  • Experience in integrating Kafka/Storm
  • Working experience on Spark/Scala or Spark/Python
  • Working experience with Big data technologies (Sqoop, Hive, any nosql like MongoDB/Hbase/Cassandra)
  • Good to have experience on ELK stack (Elastic search, Log stash and Kibana)
  • Knowledge on Azure
  • Experience on implementing any Java/J2ee applications or any other programming language
108

Junior Big Data Developer Resume Examples & Samples

  • Develop code both independently and while pair programming
  • Build meaningful unit, functional and integration level tests for the software built
  • Engage with other developers, product managers, and customers
  • Ensure coding practices are adhered to in all phases of the development lifecycle
  • Perform the software code creation, code compiling and testing activities
  • Work in a distributed and agile environment
  • Use a variety of ETL/ELT methods to transfer data between operational, warehouse, and data lake sources
  • Keep technically abreast of trends and advancements within area of specialization, incorporating these improvements where applicable
  • Review business needs, requirements, technical specifications
  • Write and maintain design, user and test documentation
  • Accountable for hitting quarterly objectives and key results
  • Bachelor's degree in Engineering, Computer Science, or Information Technology
  • 3+ years’ experience in software development with minimum 1 years Java experience
  • 2+ years working with Hadoop distribution (such as Cloudera or Horton Works or MAPR)
  • 2+ years’ experience in wide array of tools in the Big Data domain which include: HDFS, Hadoop, Hive, Talend, Impala, Sqoop, Kafka, Hue or Spark, Kafka, Zookeeper, Cassandra, and Spark
  • 1+ years’ experience with reporting tools such as PowerBI, Tableau, Alteryx, or R
  • 1+ years’ experience in coding with a data security application layer (Cloudera Sentry a plus)
  • Experience in software integration and software testing
  • Experience developing software for Windows or UNIX/Linux operating systems
  • Experience with Java Servlets / Java MBeans / Java Database Connectivity
  • Experience with CentOS or Red Hat Linux
109

Big Data Developer Resume Examples & Samples

  • Participate in technical planning & requirements gathering phases including Design, code, test, troubleshoot, and document engineering software applications
  • Ensuring that technical software development process is followed on the project, familiar with industry best practices for software development
  • Demonstrate the ability to adapt and work with team members of various experience level
  • End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade: Hadoop, Spark,Storm, Hive, Pig, AWS (EMR, Redshift, S3, etc.)/Azure (HD Insight) and Data Lake Design
  • Build Large Scale, Fault Tolerance Systems with components of scalability, and high data throughput with tools like Kafka, Storm, Flink, and Spark, and NoSQL platforms like HBase and DataStax
  • Build NoSQL solutions and capacity for understanding Graph, Key Value, Tuple Store, Columnar Memory, and in-memory functionality
  • Preferred certification in any Big Data technology
110

Big Data Developer Resume Examples & Samples

  • 3+ years of experience with Java or Scala software engineering
  • 2+ years of experience with Open Source Big Data technologies, including Hadoop or Accumulo
  • Experience with Cloud computing and NoSQL technologies, including Accumulo
  • Experience with Map Reduce and or Spark Analytic Development
  • Experience with Defensive Cyber Operations (DCO), Computer Network Defensive Space
  • Ability to exhibit flexibility, initiative, and innovation in dealing with ambiguous and fast-paced situations
  • Hadoop or Cloud Certified Professional Certification
111

Junior Big Data Developer Resume Examples & Samples

  • At least 1 year experience in SQL scripting/commands
  • At least 6 months experience in ETL tool(s) (Ab Initio, Informatica, etc)
  • At least 6 months experience Big Data and/or Data as a Service tools and technology
  • Exposure to one or more of the following: Data lakes, Hadoop, Spark, Hive, Pig, Big Data platforms
  • At least 2 years experience in SQL scripting/commands
  • At least 1 year experience Big Data and/or Data as a Service tools/technology
  • At least 1 year experience in ETL tools (Ab Initio or Informatica, etc)
  • Experience with the following: Hadoop, Hive, Pig, Spark, and/or Big Data platforms, etc
  • At least 1 year experience in data testing specifically (vs. software testing)
  • At least 6 months experience in programming
  • At least 1 year experience in reviewing/understanding user requirements
  • English : Fluent
112

Big Data Developer VP-intelligent Solutions Resume Examples & Samples

  • Work on variety of projects with very diverse needs. For example
  • 5+ years’ Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka) is required
  • 3 years’ experience with MPP databases like Greenplum, Neteza is preferred. Ability to troubleshoot issues and develop functions in an MPP environment is highly desired
  • 3+ years of SQL experience and ETL development is required
  • Strong Java, Python and/or other functional programming skills
  • Working hands-on experience with scheduling & data integration tools like Control-M and Ni-Fi is highly desired
  • 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
  • Excellent problem solving and debugging skills
  • Team collaboration maintaining exceptional code, architecture and documentation
  • Strong exposure in Data Management, Governance and Controls functions
  • Overall 8 – 12 years of experience
113

Big Data Developer Resume Examples & Samples

  • Effectively partner with the JPMC Lines of Business teams to drive implementation, usage and improvement of the data assets and systems that drives applications within JPMIS and for our strategic partners
  • Develop, review and deploy Java code to handle large data sets including JSON, XML and CSV data
  • Write, review and deploy SQL functions to handle data transformations and processing requirements
  • Manage necessary code deployments and releases across JPMIS environments
114

Big Data Developer Resume Examples & Samples

  • Ingests, understands, merges various novel external and internal datasets and prepares them for a variety of advanced analytics projects. Functions as data expert, substantially contributes to analytics/solutions design and productizing decisions
  • Independently designs the data/platform components of Analytics projects and coordinates projects from business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data to communication of results and implementation support
  • Tests new analytical software, platforms and methods for continual improvement of our environment, skill sets and solutions
  • Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion
  • Actively contributes to analytics strategy by contributing ideas, preparing presentation material for internal stakeholders and product design/business case materials for leadership
  • Follows industry trends in insurance and related data/analytics processes and businesses
  • Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects
  • Develops and implements databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Filters and "cleans" data by reviewing computer reports, printouts and performance indicators to locate and correct code and data problems
  • Performs other duties as assigned by management
  • Demonstrated technical expertise regarding data models, database design, big data frameworks
  • Proven strong knowledge of and experience with databases (SQL etc.), programming (XML, Javascript or ETL frameworks)
  • Demonstrated strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
  • Three+ years of experience with data wrangling using large and complex datasets. Experience with life, health or P&C insurance data is a plus
  • Proven aptitude for ingesting, understanding, cleaning, merging and exploring multiple large and complex internal and external datasets. Ability to insightfully consult on a variety of analytics projects by functioning as the data expert
  • Demonstrated proficiency in Oracle, SQL, Hadoop, MapReduce, Spark and other data systems, plus ETL tools like Ab Initio, Talend, Informatica and code libraries like GitHub
  • Proven strong analytical skills, including demonstrated experience identifying and quantifying problems and providing effective resolutions. Must be able to cite examples of good decision-making skills when dealing with multiple alternatives
  • Demonstrated extensive experience in database system design and analysis, including physical and logical entity relationship data modeling. Cite examples of data modeling experiences in both OLAP and OLTP systems
  • Proven experience in writing stored procedures and user scripts
  • Demonstrated ability to work under multiple deadlines with minimal supervision. Cite examples of successfully organizing and effectively completing projects on time where given little or no direction
  • Demonstrated experience working effectively within a team. Must provide examples of motivating co-workers in difficult situations
  • Proven excellent verbal and written communication skills with ability to convey information to internal and external customers in a clear, focused and concise manner
  • Demonstrated experience setting professional goals and successfully implementing and achieving those goals
  • Proven experience handling multiple duties and completing assigned tasks accurately and on a timely basis. Cite examples of project management experience in planning, executing and maintaining a project from start to finish
  • Demonstrated experience maintaining a calm and professional demeanor when handling critical or demanding situation
  • Proficient in word processing, spreadsheet and database applications
  • Proficient in Oracle RDBMS and SQL Server RDBMS
  • Working knowledge of big data platformsvlike Hadoop, MapReduce, Spark
  • Working knowledge of ETL tools like Ab Initio, Talend, Informatica and code libraries like GitHub
115

Big Data Developer Resume Examples & Samples

  • Programming - SQL experience
  • Hadoop database experience
  • Programming – Python, Java, Spark, Scala or equivalent
  • Data Migration experience
  • Data Modelling experience
  • Data Analytics experience
  • Impala and/or Hive experience
  • Data Warehousing experience
  • Business Intelligence experience
  • Good Documentation skills
116

Big Data Developer Resume Examples & Samples

  • Design and development around Apache SPARK and Hadoop Framework
  • Extensive usage and experience with RDD and Data Frames with in Spark
  • Extensive experience with data analytics, and working knowledge of big data infrastructure such as various Hadoop Ecosystems like HDFS, Hive, Spark etc
  • Should be working with gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets
  • Provide effective solutions to address the business problems – strategic and tactical
  • Collaboration with team members, project managers, business analysts and business users in conceptualizing, estimating and developing new solutions and enhancements
  • Work closely with the stake holders to define and refine the big data platform to achieve company product and business objectives
  • Collaborate with other technology teams and architects to define and develop cross- function technology stack interactions
  • Read, extract, transform, stage and load data to multiple targets, including Hadoop and Oracle
  • Develop automation scripts around Hadoop framework to automate processes and existing flows around
  • Should be able to modify existing programming/codes for new requirements and enhancements
  • Unit testing and debugging. Perform root cause analysis (RCA) for any failed processes
  • Document existing processes as well as analyze for potential automation and performance improvements. Update/create knowledge base articles and case studies as necessary
  • Migrate existing file processing from standalone or legacy technology scripts to Hadoop framework processing
  • Complete production programming, deployments and deliveries within defined SLA
  • Convert business requirements into technical design specifications and execute on them
  • Execute new development as per design specifications and business rules/requirements
  • Participate in code reviews and keep applications/code base in sync with version control
  • Effective communicator, self-motivated and able to work independently but fully aligned within a team environment
  • Design and solution capabilities
  • Rich experience with Hadoop distributed frameworks, handling large amount of big data using Apache Spark and Hadoop Ecosystems
  • Spark, SparkSQL, PySpark, Python, HDFS, Hive, Impala, Hue, Cloudera Hadoop, Zeppelin
  • Proficient knowledge of SQL with any RDBMS
  • Knowledge of Oracle databases and PL/SQL
  • Working knowledge and good experience in Unix environment and capable of Unix Shell scripts (ksh, bash)
  • Experience is Python and PySpark is a big plus
  • Basic Hadoop administration knowledge
  • DevOps Knowledge is an added advantage
  • Ability to work within deadlines and effectively prioritize and execute on tasks
  • Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels
117

Big Data Developer Resume Examples & Samples

  • 2+ years experience in Information Technology
  • Experience with either Java, Python, or Scala
  • Knowledge of relational databases and SQL
118

Big Data Developer Resume Examples & Samples

  • Expert level support to Lines of Business on Horton Works Native Stack Components
  • Follows approved life cycle methodologies, creates design documents, and performs program coding and testing
  • Resolves technical issues through debugging, research, and investigation. Relies on experience and judgment to plan and accomplish goals
  • Performs a variety of tasks. A degree of creativity and latitude is required. Typically reports to a supervisor or manager
  • Codes software applications to adhere to designs supporting internal business requirements or external customers
  • Standardizes the quality assurance procedure for software. Oversees testing and develops fixes
  • Contribute to the Design and develop high quality software for large scale Java/Spring Batch/Hadoop distributed systems by
  • Loading and processing from disparate data sets using appropriate technologies including but not limited to, Hive, Pig, MapReduce, HBase, Spark, Storm and Kafka
  • Familiar with standard concepts, practices, and procedures within Horton Works Distribution of Hadoop
  • Java experience
  • Python experience
  • Experience with Hbase, kafka, Ambari, NIFI and Spark
  • Expert in HIVE SQL and ANSI SQL - Great hands on in Data Analysis using SQL
  • Ability to write simple to complicated SQL in addition to having ability to comprehend and support data questions/analysis using already written existing complicated queries
  • Familiarity in Dev/Ops
  • Understanding of Big Data concepts and common components including YARN, Queues, Hive, Kafka, and HDF
119

Big Data Developer Resume Examples & Samples

  • Build data solutions that enable product and business teams at Marketo to make data driven decisions
  • Rethink and influence strategy and roadmap for building scalable data solutions and scalable data platform
  • Leverage homegrown Big Data framework as well as off-the-shelf tools, as appropriate
  • Working directly with many teams across Marketo
120

Big Data Developer, Associate Resume Examples & Samples

  • Big Data design, development
  • Follow and promote Agile practices like SCRUM and BDD
  • Research new technologies, identify and learn best practice, adapt quickly and provide technical guidance to other team members
  • Work with multiple globally distributed teams to deliver end-to-end solution across regions
  • Advise, collaborate with, and synthesize feedback from Wealth Managers and Product Desks
  • Presenting and demoing to users, stakeholders, and technology groups
  • Promoting excellent user experience and system performance
  • 5+ years of development experience in Java/Scala
  • 2+ years of Hbase/Hive/Yarn on Cloudera distributions of Hadoop
  • Data modelling experience in Hbase
  • Relational database development experience