Senior ETL Developer
1 day ago
Job Title: ETL Automation Tester (Databricks, PySpark, Delta Lake)
Job Summary:
We're looking for an experienced Data Pipeline Test Engineer to join our team. The successful candidate will have strong expertise in Databricks, PySpark, Delta Lake, and ETL testing, with a focus on automation and data integrity. You'll design, develop, and execute test plans for data pipelines, ensuring data accuracy, completeness, and integrity at every stage.
Key Responsibilities:
- Design, develop, and execute test plans for data pipelines using Databricks, PySpark, and Delta Lake.
- Validate data accuracy, completeness, and integrity at every stage of the pipeline.
- Develop and maintain automated test frameworks and scripts using Python and SQL.
- Collaborate with data engineers and analysts to identify testing requirements and ensure data quality.
- Troubleshoot and debug issues with data pipelines and testing frameworks.
- Stay up to date with new technologies and features in Databricks, PySpark, and Delta Lake.
Required Skills:
- Strong SQL skills (window functions, joins, aggregates).
- Proficiency in PySpark (Data Frame APIs, UDFs, Structured Streaming).
- Delta Lake fundamentals: ACID, time travel, schema enforcement/evolution, Change Data Capture (CDC).
- Databricks Lakehouse concepts: medallion architecture (Bronze/Silver/Gold), Photon, serverless vs classic clusters.
- Hands-on experience with Databricks platform, including notebooks, Jobs, and DLT pipelines.
- Extensive experience with ETL (Extract, Transform, Load) and ELT processes.
- Test automation experience with Python and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Preferred to Have:
- Experience with data warehousing and big data technologies.
- Familiarity with Agile development methodologies.
- Knowledge of data governance and data quality frameworks.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies and innovative teams.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Job Types: Full-time, Permanent
Pay: ₹986, ₹1,221,868.47 per year
Benefits:
- Flexible schedule
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: Remote
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