Data Conversion Engineer

Tucker Rose Associates

Defines and executes project systems engineering activities that may consist of systems planning, performance management...

SUMMARY:
Tucker Rose Associates is seeking a Data Conversation Engineer help support a program/group at the US Department of Veterans Affairs in Austin, TX.
 
RESPONSIBILITIES:
  • Defines and executes project systems engineering activities that may consist of systems planning, performance management, capacity planning, testing and validation, benchmarking, information engineering, and systems engineering plan development and staffing.
  • Provide subject matter expertise on performance tuning and query optimization to data analysts, data scientists, data warehouse developers, and full-stack peers
  • Participate in building, enhancing, and owning a DevOps culture following Agile/Scrum Methodology
  • Experience working in an Agile Project Management environment
  • Enforcing code documentation, framework standards, and team processes
 
REQUIREMENTS:
  • Bachelor’s Degree in Computer Science, Engineering, Math, or equivalent
  • 6+ yrs. of experience in the Information Technology Industry
  • Extensive experience developing data-intensive solutions in large data warehouse environments using RDBMS, such as Oracle (preferred), SQL Server, Postgres, DB2, etc.
  • Advanced Oracle/SQL scripting skills
  • Data conversion experience
  • Momentum database experience a plus
  • Extensive experience developing data-intensive solutions in large data warehouse environments using RDBMS, such as SQL Server (preferred), Postgres, DB2, Oracle
  • Highly advanced writing SQL queries, DML and DDL, CDC/change tracking patterns, data cleansing, indexes and performance tuning.
  • Enterprise development experience coding in at least one, but preferably more than one, procedural/OO language, e.g., C#, Python, PowerShell
  • Detecting data patterns and issues
  • Data engineer experience leading dynamic data pipeline builds
  • Experience using Tableau and Power BI or similar data visualization tool
  • Led a successful team of at least 5 (Scrum Team size)
  • Exposure to Enterprise Data Warehouse, Data Lake, Big Data, unstructured data, in-memory data stores and column store Indexing