ETL Tester- Python & SQL | Immediate Joiner | To THE New

4 - 6 years

9 - 19 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Summary:

ETL Quality Engineer

Responsibilities:

  • Validate data movement and transformation between source and target tables (ETL/ELT testing).
  • Perform **end-to-end data testing** across data warehouses, lakes, and streaming platforms.
  • Verify schema, data types, constraints, and relationships between systems.
  • Test messages published and consumed via **Kafka topics** for accuracy, schema adherence, and ordering.
  • Validate real-time data ingestion and downstream consumption.
  • Conduct **integration tests** between multiple data systems (databases, APIs, Kafka, external services).
  • Ensure correct functionality of data pipelines in batch and streaming modes.
  • Implement and execute **data quality checks** (completeness, uniqueness, accuracy, consistency, timeliness).
  • Collaborate with data engineers to integrate **data quality frameworks** into pipelines.
  • Build and maintain **automated test scripts** for regression and continuous testing.
  • Use SQL, Python, or similar scripting for test automation.
  • Integrate tests with CI/CD pipelines
  • Identify, document, and track defects in JIRA (or similar).
  • Prepare detailed test plans, test cases, and reports.
  • Collaborate with stakeholders (data engineers, product managers, analysts) to resolve issues.

Requirements

  • 3 to 6 years** of experience in **QA/Data Testing** (preferably in data engineering or analytics environments).
  • Strong hands-on experience with **SQL** for data validation and analysis.
  • Experience testing **ETL/ELT pipelines** across RDBMS, data warehouses, and cloud platforms (Snowflake, Redshift, Databricks, BigQuery, etc.).
  • Proficiency in testing **Kafka or other streaming platforms**.
  • Familiarity with **data quality tools/frameworks** (e.g., Great Expectations, Deequ, Soda, etc.).
  • Knowledge of **integration testing methodologies** across APIs, services, and data layers.
  • Strong scripting skills in **Python/Java/Scala** for automation.
  • Exposure to **CI/CD pipelines** and QA automation frameworks.
  • Excellent problem-solving, debugging, and communication skills.

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