ETL Tester

7 days ago

Noida, Uttar Pradesh, India Programming Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Company Description

"Job Description

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


•    3–6 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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