ETL tester

Job title: ETL tester
Location: Alpharetta, GA (5 days a week onsite(100% Onsite))
Long term contract - Contract to hire

We are seeking a detail-oriented Data Test Engineer to join our data migration and cloud modernization team. The ideal candidate will have hands-on experience testing complex ETL pipelines, data migration workflows, and cloud data platforms like Snowflake, with exposure to legacy ETL tools such as Ab Initio or Informatica. Experience in automating data validation, performance testing, and supporting real-time ingestion using Kafka or similar technologies is essential.

Key Responsibilities:

Design, develop, and execute test plans for data migration projects moving data from legacy systems to Snowflake.
Validate data pipelines developed using ETL tools like Ab Initio and Informatica, ensuring data quality, accuracy, and integrity.
Develop automated test scripts and frameworks using Python for data validation, reconciliation, and regression testing.
Perform end-to-end data validation including schema validation, volume checks, transformation logic verification, and performance benchmarking.
Test real-time data ingestion workflows integrating Kafka, Snowpipe, and Snowflake COPY commands.
Collaborate closely with development, data engineering, and DevOps teams to identify defects, track issues, and ensure timely resolution.
Participate in designing reusable test automation frameworks tailored for cloud data platforms.
Ensure compliance with data governance, security, and regulatory requirements during testing.
Document test cases, results, and provide clear reporting to stakeholders.
Support CI/CD pipelines by integrating automated testing into the deployment workflow.

Required Skills and Experience:

5+ years in data testing or quality assurance with strong experience in data validation and ETL testing.
Hands-on experience testing data migrations to Snowflake or other cloud data warehouses.
Familiarity with legacy ETL tools like Ab Initio or Informatica and their testing methodologies.
Proficient in scripting languages such as Python for test automation and data validation.
Knowledge of real-time data streaming platforms such as Kafka, Kinesis, or equivalents.
Strong SQL skills for writing complex queries to validate data integrity and transformations.
Experience with automated testing tools and frameworks for data quality checks.
Understanding of cloud environments, particularly AWS services (S3, Lambda, Glue).
Familiarity with CI/CD tools and practices to integrate automated testing.

Preferred Qualifications:

Experience with performance and load testing of data pipelines.
Knowledge of data governance and compliance frameworks.
Exposure to BI tools such as Tableau, Power BI for validating data consumption layers.
Certifications in data quality or cloud platforms (Snowflake, AWS) are a plus.