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You will be updated with latest job alerts via emailWe are looking for a skilled Test Engineer with experience in automated testing rollback testing and continuous integration environments. You will be responsible for ensuring the quality and reliability of our software products through automated testing strategies and robust test frameworks
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 (e.g. 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.
Qualifications :
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.
Remote Work :
No
Employment Type :
Full-time
Full-time