Big Data Developer Resume Samples

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G Wilkinson

Gloria

Wilkinson

801 Bergnaum Land

Dallas

+1 (555) 220 8870

801 Bergnaum Land

Dallas

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

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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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

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

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

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

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

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

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

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

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

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

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

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.)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Junior Big Data Developer Resume Examples & Samples

RocksDB
Unix / Linux skills
UML

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

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

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

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

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

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

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***

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

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

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)

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

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

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

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

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