QA & ETL Developer
Core
Design, develop, deploy, and test ETL workflows and data pipelines for enterprise analytics solutions.
Role type
Mid-level ETL Developer & QA Engineer
Builds
Scalable data pipelines integrating databases, APIs, and flat files for client analytics
Domain
Data Engineering / Data Quality / Cloud Data Integration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Informatica IICS, SQL, ETL testing methodologies, data validation, data reconciliation, data profiling, defect tracking, data warehousing concepts (SCDs, star/snowflake schemas)
Preferred skills
Python scripting, IICS Data Quality (IDQ), test automation frameworks, cloud platforms (AWS, Azure, GCP), modern data warehouses (Snowflake, Redshift, BigQuery), CI/CD pipelines
Technologies
Informatica IICS, SQL, Python, AWS, Azure, GCP, Snowflake, Redshift, BigQuery
Responsibilities
Design and execute test strategies for ETL workflows; Perform source-to-target data validation and reconciliation; Develop automated validation queries and scripts; Identify, log, and track defects; Collaborate with business analysts and data architects; Participate in UAT support and release validation; Maintain technical and test documentation
Seniority
Mid-level, hands-on IC