Informatica ETL Developer

Techstra Solutions•Pittsburgh, PA
•Onsite

About The Position

The Senior ETL Developer role adds technical design, workflow creation, and data movement execution, complex problem resolution, guidance and support for engineering peers, code and data pipeline reviews, and use of modern principles, methodologies, and tools to advance enterprise data integration and streaming initiatives. Senior ETL Developer with deep expertise in Informatica workflow management and advanced SQL-driven data processing. Creates and leads the technical design, development, and execution of complex ETL workflows, data integration pipelines, and high-performance data transformations using Informatica. Proposes & designs robust data movement solutions to address complex banking operational and analytical needs. Prepares technical data mapping specifications and procedural documentation required. Facilitates complex problem resolution across pipeline failures, performance bottlenecks, and database query tuning. Provides technical guidance and support to colleagues. Reviews coding, SQL scripts, testing plans, and documentation of data pipelines. Applies modern principles, methodologies and tools to advance data integration capabilities and system throughput. Customer Focused - Knowledgeable of the values and practices that align data accuracy, downstream consumption, and stakeholder satisfaction as primary considerations in all business decisions, leveraging that information to build reliable data solutions. Managing Risk - Assessing and effectively managing all of the risks associated with data movement, enterprise data quality, and security compliance to ensure they adhere to and support the company's Enterprise Risk Management Framework.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
  • 6+ Years of overall IT experience
  • 5+ years specializing in enterprise ETL design, data movement, and database optimization
  • Proven expertise in Informatica (Workflow creation, workflow management, data movement, and data integration)
  • Strong advanced SQL skills (complex joins, aggregations, window functions, and query optimization/filtering)
  • Experience working with enterprise relational databases (Oracle, SQL Server, or PostgreSQL)
  • Understanding of data pipelines, staging mechanisms, and error-handling routines in ETL design
  • Process Improvement
  • Release Management
  • Software Solutions and Design
  • Application Development
  • Design and architecture familiarity/experience
  • Business and Team Management
  • Group Problem Solving
  • Customer Engagement and Solutions Oriented

Nice To Haves

  • preferably in a large banking / financial institution environment
  • Banking experience
  • Financial institution experience
  • Understanding regulatory and risk controls in enterprise data environments

Responsibilities

  • Technical Troubleshooting
  • Application Delivery Process
  • Application Design, Architecture
  • Application Development Tools
  • Application Testing
  • Packaged Application Integration
  • System Development Lifecycle
  • Technical design, workflow creation, and data movement execution
  • Complex problem resolution
  • Guidance and support for engineering peers
  • Code and data pipeline reviews
  • Use of modern principles, methodologies, and tools to advance enterprise data integration and streaming initiatives
  • Creates and leads the technical design, development, and execution of complex ETL workflows, data integration pipelines, and high-performance data transformations using Informatica
  • Proposes & designs robust data movement solutions to address complex banking operational and analytical needs
  • Prepares technical data mapping specifications and procedural documentation
  • Facilitates complex problem resolution across pipeline failures, performance bottlenecks, and database query tuning
  • Provides technical guidance and support to colleagues
  • Reviews coding, SQL scripts, testing plans, and documentation of data pipelines
  • Applies modern principles, methodologies and tools to advance data integration capabilities and system throughput
  • Build reliable data solutions
  • Assessing and effectively managing all of the risks associated with data movement, enterprise data quality, and security compliance
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