Senior Big Data Developer Resume Samples

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K Crona

Kirstin

Crona

780 Schmidt Circle

Chicago

+1 (555) 528 7262

780 Schmidt Circle

Chicago

Phone

p +1 (555) 528 7262

Experience Experience

New York, NY

Senior Big Data Developer

New York, NY

Mohr, Cronin and Oberbrunner

New York, NY

Senior Big Data Developer

Develop technical design documents and specifications that incorporate big data development standards and best practices
Assisting in the production of reporting packages for senior management, governing committees and regulatory bodies
Perform analysis of data sets and uncover insights
Ensuring excellent practices are utilized in delivering Big Data Management and Integration Solutions
Ensuring high quality though out the development process
Good grasp of technology and tools used for development
Manage and optimize Hadoop/Spark clusters, which may include many large HBase instances

Chicago, IL

Senior Big Data Developer IB Data Platform

Chicago, IL

Kovacek Inc

Chicago, IL

Senior Big Data Developer IB Data Platform

Unit testing frameworks and functional testing frameworks
Perform hands on development, coaching and leadership through all project phases
Influences best practices development, contributing to process enhancements, and enforces best practices on project work
Create new methods for Big Data and lead developing of accelerators
Expertly utilize distributed/parallel processing for information management solution design and development
Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion
Liaising with Finance, Enterprise capital management and risk management teams to ensure inputs are accurate and at the correct levels

present

Los Angeles, CA

Senior Big Data Developer for Liquidity Risk

Los Angeles, CA

Vandervort Inc

present

Los Angeles, CA

Senior Big Data Developer for Liquidity Risk

present

Responsible for people Management, including goal setting and providing performance feedback
Partnering with risk management team on process improvements and improved tools
Work with the System Analyst and development manager on a day - to - day basis
Work with other team members to accomplish key development tasks
Design and implement work flow jobs using Talend & Unix / Linux scripting to perform ETL on Hadoop platform
Enjoy working in an agile team applying Scrum and agile development
Perform the software code creation, code compiling and testing, version control and release management activities

Education Education

Bachelor’s Degree in Computer Science

University of Georgia

Bachelor’s Degree in Computer Science

Skills Skills

Assess the suitability and quality of data sets for the Data Lake and the Enterprise Data Warehouse
Solid knowledge and understanding of application architecture and design alternatives
Solid Knowledge and understanding of integration and migration strategies and technologies
Excellent analytical, communication, organizational and problem-solving skills coupled with a strong work ethic
Strong working knowledge of Oracle RDBMS
Strong knowledge of SQL
Ability to multitask and strong time management skills
Working knowledge of at least a few of the common frameworks like Spring, Apache, Hibernate (or similar ORM tools), Jersey
Knowledge of related open source products, notably Spark, Cassandra, Hadoop. Own contributions are a big
Passion for writing good code

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Senior Big Data Developer Resume Examples & Samples

Solid SQL and data modeling experience required
Extensive experience in developing dashboards using Qlikview and a keen eye for detail, user interfaces and dashboard design experience is required
Write and maintain both user and internal documentation
This group works with over 30 systems so candidate must be able to learn them quickly, profile data, and reverse engineer data models / SQL
Ability to adapt and react quickly to changing business needs
Required ability to work with key staff in remote geographical locations
Ability and willingness to provide excellent customer service via phone and email

Senior Big Data Developer Resume Examples & Samples

Evaluates and conducts proofs of concept for data integration and Big Data technologies
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, data mart, operational data store, or a downstream application
Convert existing data integration jobs to Big Data technologies
Establishes agile development processes, standards and best practices
Mentor and coach junior developers through the transition to big data technologies and practices
Prepares documentation required for production deployment such as runbooks and release manuals
5+ years of experience developing enterprise-grade data integration solutions
3+ years of experience working with MPP data warehousing platforms such as Teradata, Netezza or Vertica
2+ years of experience with ETL tools such as Informatica, Ab Initio or similar
Experience with Agile development methodology is preferred
Experience with HBase a plus

Senior Big Data Developer for Liquidity Risk Resume Examples & Samples

Be able to communicate effectively and work closely together with business clients, other technology teams, support partners and stakeholders to deliver and support business aligned solutions
Strong big data skills – Spark, Hadoop, Impala, Sqoop, Oozie
Strong OO skills – Python, Java, Scala
Strong UI/Data Visualization skills - Tableau, Bokeh, D3, Spotfire, HTML5/Javascripts
Working experience in financial industry
Understanding of Liquidity Risk and or Credit/Market Risk is a plus
Working experience in Business Intelligence application in financial Industry is preferred

Senior 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 requirements
Be accountable for creating end-to-end solution design and development approach in a Hadoop/Spark, OR Kafka environment
Be accountable for integration solution design and development for integration Hadoop/Spark, OR Kafka environments with analytic platforms (e.g., SAS, R) and in alignment with Information Management Reference Architecture
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
Create new methods for Big Data and lead developing of accelerators
Perform industry research for best practices in data management for current initiatives and proactively share this information as applicable with other members of the team
Perform hands on development, coaching and leadership through all project phases
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
Demonstrate knowledge of Data Architecture, Data Warehousing, Advanced Analytic, or Data Science implementations
Demonstrated product and delivery experience across all tiers in the creating of information management solutions – from data sourcing to end-state delivery / consumption
Experience presenting technical concepts and solutions to business and technology stakeholders
Proven ability to drive and influence change through innovation & process improvement
2 years of relevant experience in solutioning using Cloud and/or Big Data technologies and techniques
2 years of relevant experience implementing solutions leveraging multi-structured (Hadoop) or NOSQL (MongoDB, Cassandra, HBase) data platforms required
7 years of relevant experience in Very Large Data Warehousing and/or Advanced Analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, etc)
5 or more years of relevant experience in the solution architecture and implementation oversight of data-intensive solutions
5 years of relevant experience with ETL/ELT data-integration platforms such as Informatica, Data Stage, Data Services, etc a plus
5 years of relevant experience with Business Intelligence toolsets such as Tableau, Business Objects, Cognos, MicroStrategy, etc a plus

Senior Big Data Developer IB Data Platform Resume Examples & Samples

Proven experience in IT development experience with RDBMS or OO (Java/C#) programming languages
Experience of hands-on experience with Hadoop technologies (HDFS, HIVE, Impala, Oozie, Flume, Scalding, etc)
Experience in data modelling with good SQL skills in at least 1 enterprise grade RDMBS
Experience in Test/Behaviour Driven Development (including test automation and mocking tools)
Understanding of Agile methodologies and SDLC phases

Senior Big Data Developer Resume Examples & Samples

Strong programming skills in object oriented programming language like Java
A deep understanding large scale data processing - Hadoop, Spark, HDFS & Hive
Experience with data modeling in SAP HANA (optional)
Strong application development experience including experience with state of the art development tools (Git, Gerrit, Maven, CMake…) and the Apache Hadoop eco system

Senior Big Data Developer Resume Examples & Samples

Love to innovate, influence and have an impact in the field of Big Data and Machine Learning
Remain eager to learn and improve and to mentor and engage others
Are willing to use, embrace and contribute to open source products
Enjoy working in an agile team applying Scrum and agile development
Are a self-motivated, committed, reliable team player with a strong service ethic
Are a proactive networker and enjoy collaborating with engineers across the organization in an international environment
Excellent bachelor’s or master’s degree in computer science or a related engineering discipline
Proven expertise in Cloud, Big Data or Machine Learning context
Strong in Unix, Linux and Shell scripting
Proficiency in two of the following: Java, Scala, server-side JavaScript, Go, Python, Ruby
Knowledge of design patterns, OO or functional programming and parallel, distributed algorithms
Fluency in German and English (written and spoken)
Experience in working with leading Cloud platforms, such as AWS, Azure, GCP, SAP HCP
Or experience with container based solutions, e.g. Docker, Mesos, Kubernetes
Knowledge of related open source products, notably Spark, Cassandra, Hadoop. Own contributions are a big plus
Experience in cloud deployment tools such as Terraform, Ansible, Chef, BOSH or similar
Hands-on experience with agile software engineering, CI/CD and DevOps best practices
Experience in building, operating and trouble-shooting distributed systems
> 3 years’ experience in productive software development & delivery

Senior Big Data Developer Resume Examples & Samples

Development and review of big data architecture and cloud environments
Leading technical solution and design
Developing Proof of Concepts and big data/real-time systems
Supporting proposal responses
3+ years of relevant experience and 5+ years overall IT experience
Experience administrating big data platforms such as Hortonworks Data Platform on cloud environments
Excellent communication skills are a must (writing, presenting, etc.)
Experience with real-time data processing such as Storm or Spark Streaming and developing algorithms against real-time data
Experience with geospatial data sets
Certifications in Big Data Analytics, Data Science preferred
LI-RS1
Big Data

Senior Big Data Developer Resume Examples & Samples

Manage and optimize Hadoop/Spark clusters, which may include many large HBase instances
Support regular requests to move data from one cluster to another
Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion
Hands-on experience with Cloudera Distributed Hadoop (CDH) and experience with many of the following components
Experience in Healthcare Domain
CCDH (Cloudera Certified Developer for Apache Hadoop)

Senior Big Data Developer Resume Examples & Samples

Build and support scalable and durable data solutions that can enable self-service advanced analytics atHomeAway using both traditional (SQL server) and modern DW technologies (Hadoop, Spark, Cloud, NoSQL etc.) in a agile manner
Support HomeAway’s product and business teams specific data and reporting needs on a global scale
Close partnership with internal partners from Engineering, product, and business (Sales, CustomerExperience, Marketing etc.)
Bachelor’s or Master’s Degree in Computer Science or Engineering or related experience required
8+ years of EDW development experience including 2+ years in Big data space (i.e building data pipelines inHadoop), working with Petabytes of data
Proven technical lead using technologies such as SQL server (or any relational DB), Hadoop, Cassandra,Java, Python, Spark, Hive and Kafka
Experience with of all aspects of data systems(both Big data and traditional) including database design, ETL, aggregation strategy, performance optimization
Experience in eCommerce orInternet industry preferred

Senior Big Data Developer Resume Examples & Samples

Hadoop : Storm, Kafka, Flume, Hive, Pig, Sqoop, Accumulo, MR coding
Other Tech. : Oracle DB, Shell Scripting, Java, GridGain (In Memory Cache)
Tools : GIT, UC4, JIRA, Rally
Responsible for Knowledge transfer and arriving at SLAs for steady state

Senior Big Data Developer Resume Examples & Samples

Provide hands - on leadership for the design and development of ETL data flows using Hadoop and Spark ECO system components. Leading the develop of large - scale, high-speed, and low - latency data solutions in the areas of large scale data manipulation, long - term data storage, data warehousing, low - latency retrieval systems, real - time reporting and analytics Data applications - visualization, BI, dashboards, ad - hoc analytics
Design and implement work flow jobs using Talend & Unix / Linux scripting to perform ETL on Hadoop platform
Work with other team members to accomplish key development tasks
Design and develop optimal solutions for the implementation, maintenance and monitoring of all components of software
Help shape and augment team’s continuous delivery capabilities and utilize DevOps best practices to improve delivery automation, collaboration, and efficiency
3+ years Java experience
Team lead experience
ETL development experience
Unix / Linux Shell Scripting experience
Scala experience
Sqoop experience
Data warehouse implementation experience
Healthcare industry experience

Senior Big Data Developer Resume Examples & Samples

Align data best practices, and solutions patterns with business strategies
Lead discussions with associated business and technology stakeholders to facilitate requirements, decision making and align solutions to business needs
Participate in the development, communication and implementation of the data architecture and data plan, including the components required to support it
Participate in hands-on data modeling, data architecture and drive processes/solutions that address all aspects of data at rest and in-motion
Support the development of solutions that integrate data and functionality with and from other systems internal and external to UHG/Optum
Work with leading edge technologies and a team with a mixture of highly developed and developing IT professionals with a variety of skills and experiences
Drive and managing high-quality execution, operational excellence and be able to juggle priorities and adjust to shifting business and market requirements
Work with speed and urgency in an Agile environment, using Agile methodologies with a goal of defining canonical solution models that maximize reuse and ensure team velocity
Ensure adherence to enterprise design and development frameworks, drive compliance to UHG/Optum-blessed processes and leverage enterprise and industry patterns and practices to deliver robust, secure, scalable software products and solutions

Senior Big Data Developer Resume Examples & Samples

Build data systems and data pipelines that extract, classify, merge, and deliver new insights using Java, Storm, Spark, Java, SQL, Pig, Hive, Impala, etc
Design and implement high performance, large volume data integration processes and other back-end services/solutions that are automated and maintainable from deployment to production
Implement security, encryption best practices for big data environments
Find and implement solutions to integrate event-based, semi-structured and 3rd party data sources (e.g. E-commerce transaction data) with enterprise relational models and strategies for transactional and analytical systems to effectively share data
Learn and apply new technologies and frameworks; develop and implement advanced algorithms
Experience in Java programming and big data background (Hadoop, Hive, Spark, Storm, Mahout, Lucene, MongoDB etc.) as well as familiarity with at least one scripting language such as Ruby or Python
Bonus experience with NoSQL and MPP/columnar database technologies
Bonus for experience in Apache Storm, Apache Tez or Apache Spark
Bonus for experience with cloud and platform services, including self-provisioning, dynamic resource allocation
Bonus for experience with automatic data validation and testing tools/procedures on a big data environment
5+ years of IT experience, 2 years focused in areas of Big Data development and operation
2+ Experience with Hadoop ecosystem frameworks such as: MapReduce, Hive, Yarn, HBase, Pig Latin, Storm, Kafka, Flume HCatalog, Spark, Oozie, Zookeeper, Java and others
Ability to code within large scale, long-term data projects and work effectively in a cross-functional team

Senior Big Data Developer Resume Examples & Samples

Design and develop the data infrastructure and conversion of existing data to a scalable big data platform
Share knowledge and provide technical guidance to other team members within areas of expertise
Work with technical staff to analyze and understand problems with complex software and resolve them
Bachelor's degree in Software/Computer/Electrical Engineering, Computer/Information Sciences or Mathematics as well as eight (8) years’ related work experience, or a Master's degree as well as five (5) years’ related work experience
Strong knowledge of RDBMS/SQL fundamentals, including database design, DDL/DML/DCL, clustering, replication and failover
Significant experience in data engineering, data transformation, data warehousing and data analysis, including architecture/design, development, administration and optimization
Significant experience with NoSQL databases for big data applications managing terabyte/petabyte size data sets (e.g., Hadoop, MongoDB, Redis)
Experience developing and tuning ETL processes/solutions (e.g., SSIS, GoldenGate, Hive/Impala)
Strong knowledge of OOAD, SoA and multi-tier architectures
Strong analytical, problem solving and planning skills
Excellent interpersonal, communication and presentation skills
Experience with web services development (Web API, REST)
Experience with EDI transaction processing, standards and tools
Experience implementing/installing or supporting enterprise level databases for external clients

Senior Big Data Developer Resume Examples & Samples

Hands on senior level experience developing applications and mentoring other onshore and offshore junior developers on a wide variety of Hadoop and related technologies which must include Sqoop, Hive, Pig, Spark, Spark Streaming, Kafka, Hbase, Solr. (Experience with Apache NiFi is a plus)
Demonstrated experience and mentoring of junior level developers on Data Warehousing projects leveraging the Hadoop platform for ingesting, integrating, and delivering large and diverse data sets (such as Mainframe, RDBMS, text files, images, call recordings, unstructured text, PDFs, sensor data, web activity) for various analytical use cases required
Demonstrated experience and mentoring of junior Hadoop developers working with Data Science teams to enable development and deployment of predictive models leveraging various technologies on the Hadoop platform such as R, Python, Spark, H20, SAS etc. strongly desired. Extensive experience with statistics is not required, however this individual will work closely with data scientists and statisticians providing IT support for deployment of data science and predictive applications
Demonstrated experience integrating results of Hadoop based analytical applications with other internal and consumer facing systems through Java based Web Services, APIs, or other methods strongly desired
Offer to selected candidate will be made contingent on the results of applicable background checks
Offer to selected candidate in contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
Provides expertise during the initial phases of the project including estimating resources, skill requirements, time requirements, identifying tools and technologies, participating in proof of concepts, etc
Analyzes high level system specifications, business requirements and/or use cases. Converts information into the appropriate level specifications and system design plan for the development team. Designs and develops complex software solutions in adherence with I/S standards, methodology and internal controls. Identifies and provides solution alternatives for the defined functional and system requirements when needed
Understands and identifies system dependencies. Understands functionality, integration points and impacts of proposed changes to supporting applications. Follows through with options and recommendations
Consults with others to validate complex design decisions. Provides advanced coding expertise to mitigate high risk features or technical challenges
Provides appropriate documentation for design decisions, estimating assumptions, code modules, and performance metrics as required by organization standards
Defines, conducts, mentors others, and/or participates in testing (i.e. unit, system integration). Prepares, leads and/or participates in development walkthroughs
Collaborates with others regarding effectiveness of systems flow, data usage and manual or automated processes to verify requirements
Ensures software development meets standards for programming, design, performance, and security. Identifies and recommends areas for improvement in planning, design, development, and testing
Demonstrated experience analyzing and understanding complex software/systems
Demonstrated experience communicating technical information
Demonstrated experience developing different solution-delivery and design approaches and solutions to customers
Demonstrated experience developing complex software/systems using one or more programming language
Demonstrated experience analyzing and estimating project size and work efforts for software solutions
Demonstrated experience providing technical guidance and leadership to less experienced staff
Extensive knowledge and understanding of software development and design standards and methodologies
Extensive knowledge and understanding of infrastructure technologies, operating systems, and the interconnectivity between infrastructure platforms and software tools
Extensive knowledge and understanding of systems development life cycle (SDLC)
Solid knowledge and understanding of application architecture and design alternatives
Solid Knowledge and understanding of integration and migration strategies and technologies

Senior Big Data Developer Resume Examples & Samples

Experience writing spark jobs to cleanse/enrich/process large amounts of data
Also must have experience writing spark streaming jobs to read data from Kafka
Tuned spark jobs for efficient performance including execution time of the job, execution memory, etc
Strong understanding various file formats and compression techniques in HDFS
Must have experience with sqoop to import and export data out of HDFS
Experience in effectively modeling and storing data in HDFS
Experience with source code management systems such as GIT
5+ years of experience as a Java developer/Data developer
3+ years of experience as Big Data environment
1 or more years of experience working with Spark

Senior Big Data Developer Resume Examples & Samples

Employ best practices to ensure high availability and performance
Review system requirements and design solutions
Develop program logic in Java for new applications or analyses and modifies logic in existing applications
Database analysis and design
Working closely with the customers, Business Analysts, Testers and Project Managers in global environments to support the design of new and existing functionality
Modify existing internal software products to add new functions, adapt to new hardware, improve performance or enhance product usability
Fluent in written and spoken English
Prior experience in clearing trading and/or clearing system development within the financial sector
Good understanding of financial markets

Senior Big Data Developer Resume Examples & Samples

Ensuring design decisions can be actioned by the development team
Acting as a role model for all best practices, ensuring consistency across entire team
Systems integration, including design and development of APIs, Adapters, and Connectors
Excellent analytical, communication, organizational and problem-solving skills coupled with a strong work ethic
Ability to translate business requirements into functional requirements documentation
5+ years experience with full development lifecycle from inception through implementation
3+ years implementing Big Data technologies including Spark, HDFS, MapReduce, Hive, Sqoop, and similar technologies
3+ years experience with Scala and similar Big Data oriented languages
Experience with development, deployment, and support of large-scale distributed applications in a mission-critical production environment
Test-infected attitude (strong desire to perform thorough and exhaustive unit, integration and system testing)
BS in Computer Science or similar technical Bachelors
Preparing test plans and performing system testing
Experience with TDD utilizing test data, jUnit and Mockito
Experience with JSON, XML, XSD and JAXB
Experience with Change Management and Incident Management process
Strong experience in using Eclipse, Maven, Jenkins, SVN, JIRA, HP AML, Control M or equivalent tools
Ability to work independent as well as in a team environment
Able to take the challenges of new technology and provide a production worthy output
Working knowledge of at least a few of the common frameworks like Spring, Apache, Hibernate (or similar ORM tools), Jersey
Be a self-starter and be able to reach out to various groups to get the requirements to completion
3+ years working with Open Source Java frameworks (Spring, Hibernate, Mule ESB, Jersey or similar)
Experience with Scala and similar functional languages
Experience with Javascript (JQuery, modern MV* such as Ember or Angular)
Strong working knowledge of Oracle RDBMS
Experience with Linux shell scripts is nice to have
Experience with Data Management is an added advantage

Senior Big Data Developer Resume Examples & Samples

Exhibiting language proficiency and independently writes application modules and unit tests as well as designs independently
Conducting /Assisting full system testing
Defining key metrics driving code optimisation and leads discussion of code reviews
Managing environment build deployments, release notes and build notices
Reviewing code to proactively identify and mitigate potential issues and defects as well as identifying solution problems and issues outside code
Contributing to architectural discussions
Interpreting and enforcing architecture for development
Developing designs for all aspects of a project
Liaising with Finance, Enterprise capital management and risk management teams to ensure inputs are accurate and at the correct levels
Assisting in the production of reporting packages for senior management, governing committees and regulatory bodies
Partnering with risk management team on process improvements and improved tools
Understanding of credit risk measurement methodologies such as EPE,CE, PFE, MPFE, EE, right way / wrong way exposures, CVA (credit valuation adjustment)
Understanding concepts of VaR (value at risk) and various methodologies applied for calculating value at risk
Strong understanding on economics and life cycle events of financial market products such as CDOs, CDS, Futures, Options, Flex Products, OTC derivatives
Strong understanding on regulatory reporting’s such as BASEL III, BaFin requirements for counterparty risk management
Understanding of various platforms and trade life cycle events that are governed with credit risk events
Understanding of regulatory and economic capital risk reports and data inputs respectively
Experience in Core-java and J2EE
Experience in C# and C++
Experience in BigData technologies including all or some of the following (Spark, HBase, HDFS, Akka, PySpark, Impala)
Previous use MVC Frameworks, Spring, Hibernate
Strong understanding in Relational database concepts
Experience with Maven, GIT, HTML, JSP, CSS, JAVASCRIPT
Experience working in a Linux environment and open source libraries
Agile/lean software development techniques and knowledge of supporting tools like JIRA
Strong written and oral communication, interpersonal and organisation skills
Influences best practices development, contributing to process enhancements, and enforces best practices on project work
Ability to multitask and strong time management skills

Senior Big Data Developer Resume Examples & Samples

Defining technical requirements, architecting data pipelines and integration routines with internal/external sources
Developing data integration/ingestion processes
Building SQL/HIVE databases and tables
Writing PIG scripts
Job automation and scheduling using Control-M, unit and system testing
Performance tuning and analytical and business user support
Bachelors or Masters Degree with an emphasis on Computer Science or Information Systems
Experience as a senior technical developer or a data engineer
Expert level experience working with relational databases, MPP systems and Hadoop distributions
Able to think outside the box and understand the big picture thought process
Ability to communicate clearly to business owners
Advanced level knowledge of SQL
Experience with Hadoop (HDFS, Sqoop, Pig, Hive, Spark, Kafka etc.)
Working experience with Java, Python or a programming language is required
Working experience with Unix/Linux
Experience with Control-M is desired
Experience with Tableau and R is a plus
Data Mining/Data Warehousing/Business Intelligence experience a plus
Successful completion of Auto Club pre-employment assessments, background and drug screenings

Senior Big Data Developer Resume Examples & Samples

Perform data formatting involving cleaning up of the data
Assign schemas and create HIVE tables
Apply other HDFS formats and structure (Avro, Parquet, etc) to support fast retrieval of data, user analytics and analysis
Assess the suitability and quality of data sets for the Data Lake and the Enterprise Data Warehouse
Act as self-starter with the ability to take on complex projects and analyses independently
Work effectively with a geographically dispersed team which may sometimes require non-standard working hours
Perform the software code creation, code compiling and testing, version control and release management activities
Develop technical design documents and specifications that incorporate big data development standards and best practices
Coordinate as appropriate with the other tenants in a shared big data environment
Coordinate with IT teams for issues related to the big data environment, system performance, and deployment activities
Mentor team members to learn/improve analysis and design skills
5+ years’ experience in software development with minimum 3 years Java experience
3+ years working with Hadoop distribution (such as Cloudera or Horton Works or MAPR)
3+ years’ experience with Red Hat Linux
2+ years’ DBA and/or Data Modeling experience
2+ years’ experience in coding with a data security application layer (Cloudera Sentry a plus)
Experience in one of the following: Perl, Python, Java, Scala or other third-generation structured programming languages
Experience in coding shell scripting
Experience in Big Data Storage and File System Design
Experience in performing troubleshooting procedures and designing resolution scripts
Experience in Hadoop, Cloudera CDH, HDFS, PIG, Hive, Map Reduce, Sqoop, Flume, Oozie, Spark, Unix scripting, Impala, Tableau or PowerBI, Talend Big data ETL
Experience in data ingestion technologies with reference to relational databases and web services technologies (i.e. DB2, Oracle, SQL)
Experience with advanced SQL query writing and data retrieval using "Big Data" Analytics
Knowledge of leading-edge technologies, new methodologies, and best practices applicable to work performed

Senior Big Data Developer Resume Examples & Samples

Build a data platform that enables the business teams at the client to create the products needed by our clients
Ensuring high quality though out the development process
Collective ownership of a cloud based platform using big data technologies
Actively look for ways to make things better
Passion for writing good code
Must be able to articulate benefits of Big Data
Java/Scala are great plus
Hands on experience with Cloudera Hadoop ecosystem: MapReduce, Pig, Hbase, Hive, JavaMR etc
Data Modelling/KeySpace definition
Consulting on Big Data projects: Proof Of Concepts, implementation, delivery
Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)
Strong understanding of relational and multi-dimensional data design and reporting
Unit testing frameworks and functional testing frameworks
Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment
Data Visualisation skills
Banking experience
Knowledge of networking
Enterprise Business Intelligence and Analytics
Experience with statistical packages like SPSS