Software Developer in Test (SDET) Data Analytics
Job Overview:
We are seeking a Software Developer in Test (SDET) specializing in data analytics and automation to join our client's data engineering team. This role involves developing automated testing frameworks for data pipelines, validating large-scale data systems, and ensuring the quality and reliability of analytical data solutions.
Key Responsibilities:
- Design and develop automated test scripts and frameworks for data pipelines (ETL/ELT processes)
- Validate data quality, accuracy, and integrity across structured and unstructured datasets
- Collaborate closely with Data Engineers , Data Analysts , and Product Owners to define test strategies
- Perform data profiling , transformation validation, and end-to-end system testing
- Integrate automated tests with CI/CD pipelines for continuous validation
- Develop automated regression test suites to detect data anomalies and performance regressions
- Troubleshoot defects, work with developers to resolve issues, and improve test coverage
- Monitor data quality metrics and help implement real-time alerting or quality dashboards
Required Skills & Qualifications:
- 3 7 years of experience in SDET , Data QA , or Data Engineering QA roles
- Strong coding experience in Python , SQL , and automation frameworks like PyTest , Robot Framework , etc.
- Experience with big data platforms such as Snowflake , Google BigQuery , Databricks , or Redshift
- Hands-on experience validating data pipelines , data lakes , and analytics systems
- Familiarity with tools like Apache Spark , Airflow , Informatica , or similar ETL/ELT tools
- Proficient with CI/CD tools (e.g., Jenkins, GitLab CI/CD)
- Experience in cloud environments such as AWS , Azure , or Google Cloud Platform (GCP)
- Strong analytical skills with a good understanding of data modeling and data governance concepts
Preferred Qualifications:
- Experience with data observability tools (Monte Carlo, Great Expectations, etc.)
- Exposure to data visualization tools for test reporting (Tableau, Power BI, etc.)
- Knowledge of containerized environments (Docker, Kubernetes) is a plus
- ISTQB or other relevant certifications in testing or data analytics
Soft Skills:
- Excellent communication skills verbal and written
- Strong problem-solving abilities and attention to detail
- Ability to work independently and in cross-functional teams
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