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Urgent! Test Automation Engineering Manager (Data Catalog) Job Opening In India, India – Now Hiring Confidential

Test Automation Engineering Manager (Data Catalog)



Job description

Good-to-Have Skills:

  • Experience with data governance tools such as Apache AtlasCollibra, or Alation
  • Understanding of DataOps methodologies and practices
  • Familiarity with monitoring/observability tools such as DatadogPrometheus, or CloudWatch
  • Experience building or maintainingtest data generators
  • Contributions to internal quality dashboards or data observability systems
  • Awareness of metadata-driven testing approaches and lineage-based validations
  • Experience working with agile Testing methodologies such as Scaled Agile.
  • Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest.

Must-Have Skills:

  • Strong hands-on experience with Data Quality (DQ) framework design and automation
  • Expertise in PySpark, Python, and SQL for data validations
  • Solid understanding of ETL/ELT pipeline testing in Databricks or Apache Spark environments
  • Experience validating structured and semi-structured data formats (e.g., Parquet, JSON, Avro)
  • Deep familiarity with AWS data services: S3, Glue, Athena, Lake Formation, Data Catalog
  • Integration of test automation with AWS Glue Data Catalog or similar catalog tools
  • UI automation using Selenium with Python for dashboard and web interface validation
  • API testing using Postman, Python, or custom API test scripts
  • Hands-on testing of BI tools such as Tableau, Power BI, Looker, or custom visualization layers
  • CI/CD test integration with tools like Jenkins, GitHub Actions, or GitLab CI
  • Familiarity with containerized environments (e.g., Docker, AWS ECS/EKS)
  • Knowledge of data classification, access control validation, and PII/PHI tagging
  • Understanding of data governance standards (e.g., GDPR, HIPAA, CCPA)
  • Understanding Data Structures: Knowledge of various data structures and their applications.
  • Ability to analyze data and identify inconsistencies.
  • Proven hands-on experience in test automation and data automation using Databricks and AWS.
  • Strong knowledge of Data Integrity Frameworks (DIF) and Data Quality (DQ) principles.
  • Familiarity with automated testing frameworks like Selenium, JUnit, TestNG, or PyTest.
  • Strong understanding of data transformation techniques and logic.


Skills Required
Docker, Databricks, Python, Aws


Required Skill Profession

Computer Occupations



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