Job Summary

ETL Developer- DataStage

  • Location:
    Pleasanton, California
  • Job reference:
  • Category:
    Information Systems
  • Contract Type:

ETL Developer- DataStage
Pleasanton, CA
Provide professional services to support the long-term IT strategy and planning to include high level analysis, professional reports and presentations, and mentoring, support and training.
• Recommend the good practice on ETL process to extract data from disparate source transaction systems, transform and enrich the data, and load it into specific data models that are optimized for analysis and reporting.
• Facilitate the best-in-class data integration platform.
• Recommend and implement the plan for DataStage version upgrade from v. 9 10 v. 11.
• Recommend the training and mentoring plans for the transition of knowledge to current employees.
• Delivery of quality results of tasks and assignments.
• Extensive hands-on experience in building ETL interfaces using Datastage version 9.1 and higher version to aggregate, cleanse and migrate data across enterprise-wide MDM, Big Data, and Data Warehousing systems using staged data processing techniques, patterns and best practices.  Working knowledge and experience on DataStage 11 is a plus.
• Strong experience in full life cycle management of capturing, versioning and migrating various DataStage ETL metadata including data mapping and other data integration artifacts (such as schedulers, scripts, etc.) across environments using vendor platforms such as Data Stage, or other equivalent tools (including open source) by establishing standards, guidelines and best practices.
• Combined experience of advanced SQL and stored procedures (in DB2, SQL Server, and/or Oracle Database Platforms) with hands-on experience of designing solutions for optimal performance and handling other non-functional aspects of availability, reliability and security of DATASTAGE ETL Platform.
• Proficiency on working with Unix and Linux servers, jobs scheduling, as well as script languages such as C, shell script (sh), AWK, and sed.
• Experience with both normalized and dimensional data models, hands-on knowledge of other data integration techniques such as database replication, change data capture (CDC) etc. and familiarity of SOA and ESB technologies and patterns.
• Technical knowledge in predictive analytics architecture and in development and deployment of predictive models is a plus.
• Over 5 years of proven work experience in DataStage version 9.1 and 11.
• Over two years of DataStage version 11.0 is a plus.
• Over 3 years of proven work experience on scripting languages such as Perl, Shell, and Linux/Unix servers, files structure, and scheduling.
• Complete work within a reasonable time frame under the supervision of a manager or team lead.
• Plan and manage all aspects of the support function.
• Extensive knowledge of and proven experience with data processing systems, and methods of developing, testing and moving solutions to implementation.
• Strong knowledge in project management practices and ability to document processes and procedures as needed.
• Elicit and gather user requirements and/or problem description information, and record this information accurately
• Convey and explain complex problems and solutions in an understandable language to both technical and non-technical persons
• Present technical solutions to management and decision makers

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