Posted:1 day ago|
Platform:
Work from Office
Full Time
Design and execute end-to-end test strategies for data pipelines, ETL/ELT jobs, and database systems.
Validate data quality, completeness, transformation logic, and integrity across distributed data systems (eg, Hadoop, Spark, Hive).
Develop Python-based automated test scripts to validate data flows, schema validations, and business rules.
Perform complex SQL queries to verify large datasets across staging and production environments.
Identify data issues and work closely with data engineers to resolve discrepancies.
Contribute to test data management, environment setup, and regression testing processes.
Work collaboratively with data engineers, business analysts, and QA leads to ensure accurate and timely data delivery.
Participate in sprint planning, reviews, and defect triaging as part of the Agile process.
4+ of experience in Data Testing, Big Data Testing, and/or Database Testing.
Strong programming skills in Python for automation and scripting.
Expertise in SQL for writing complex queries and validating large datasets.
Experience with Big Data technologies such as Hadoop, Hive, Spark, HDFS, Kafka (any combination is acceptable).
Hands-on experience with ETL/ELT testing and validating data transformations and pipelines.
Exposure to cloud data platforms like AWS (Glue, S3, Redshift), Azure (Data Lake, Synapse), or GCP is a plus.
Familiarity with test management and defect tracking tools like JIRA, TestRail, or Zephyr.
Experience with CI/CD pipelines and version control (e.g., Git) is an advantage.
Blend360 India
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