Informatica and Snowflake Data Engineer

Benefits:

• Competitive salary

Location Hybrid in Austin, TX

Experience Level Senior Level (8+ years of experience).

Role Overview We are seeking an experienced Informatica ETL/Data Engineer to design, develop, and support enterprise data integration solutions. This role involves building and maintaining ETL workflows, ingesting data from diverse source systems, and optimizing performance across large-scale data pipelines. The ideal candidate brings strong Informatica PowerCenter and Oracle SQL/PL-SQL expertise, along with hands-on Snowflake experience, and is comfortable collaborating with business and technical stakeholders in structured SDLC environments.

Key Responsibilities

ETL Development & Data Integration

• Develop and maintain ETL workflows using Informatica PowerCenter, including mappings, sessions, workflows, and reusable transformations.

• Ingest data from multiple heterogeneous source systems, including flat files, APIs, relational databases, and mainframe extracts, into Oracle databases.

• Develop and support cloud-based ETL/ELT solutions using Informatica Cloud Data Integration.

 Database & Performance Optimization

• Write and optimize Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning of ETL-related queries.

• Load data into Snowflake and support schema design and query performance optimization.

• Troubleshoot and resolve data quality issues, job failures, and performance bottlenecks in production ETL pipelines.

 Requirements & Design Documentation

• Gather data requirements and perform source-to-target mapping.

• Document data flow and design specifications.

• Analyze user requirements and operational procedures to identify opportunities for automation or system improvement.

 Operations & Collaboration

• Support batch data loads using job scheduling/orchestration tools such as Control-M, Autosys, or the Informatica scheduler.

• Collaborate with business and technical stakeholders to deliver scalable data engineering solutions.

• Confer with organizational units to analyze current procedures and define input/output and reporting requirements.

 Required Qualifications

• 8+ years of experience as a Data Engineer/Systems Analyst designing, developing, and supporting data integration solutions in an enterprise environment.

• 8+ years of hands-on experience developing and maintaining ETL workflows using Informatica PowerCenter.

• 8+ years of experience ingesting data from multiple heterogeneous source systems into Oracle databases.

• 8+ years of strong working knowledge of Oracle SQL/PL-SQL, including stored procedures, packages, and performance tuning.

• 8+ years of experience with Snowflake, including data loading, schema design, and query performance optimization.

• 8+ years of experience with Informatica PowerCenter/Informatica Cloud Data Integration for cloud-based ETL/ELT development.

• 8+ years of experience gathering data requirements, performing source-to-target mapping, and documenting data flow/design specifications.

• 8+ years of experience troubleshooting data quality issues, job failures, and performance bottlenecks in production ETL pipelines.

• 8+ years of experience with job scheduling/orchestration tools (e.g., Control-M, Autosys, or Informatica scheduler) supporting batch data loads.

 Preferred Qualifications

• Experience with SAP Business Objects Universe design and/or maintenance.

• Experience working in a state government or large enterprise IT environment, following formal SDLC and change management processes.

 Core Skills & Attributes

• Strong analytical and problem-solving skills with a detail-oriented approach to data engineering.

• Excellent written and verbal communication skills for engaging business and technical stakeholders.

• Comfortable working within structured SDLC environments and formal change management processes.

• Strong troubleshooting mindset for production support and performance optimization.

• Collaborative and adaptable, able to work effectively across business and technical teams.