ETL Data Engineer

Role: ETL Data Engineer

Experience: 6-9 Years

Location: Noida/Pune/Chennai

Notice Period: 0-15 Days

Job Description:

Collaborate with analysts and data architects to develop and test ETL pipelines using SQL and Python in Google BigQury.

Perform related data quality checks and implement validation frameworks.

Optimize BigQuery queries for performance and cost-efficiency

Available for full-time engagement

Technical Requirements

SQL (Advanced level):

Strong command of complex SQL logic, including window functions, CTEs, pivot/unpivot, and be proficient in stored procedure/SQL script development.

Experience writing maintainable SQL for transformations.

Python for ETL:

Ability to write modular and reusable ETL logic using Python.

Familiarity with JSON manipulation and API consumption.

Google Big Query:

Hands-on experience developing within the Big Query environment.

Understanding of partitioning, clustering, and performance tuning.

ETL Pipeline Development:

Experienced in developing ETL/ELT pipelines, data profiling, validation, quality/health check, error handling, logging and notifications, etc.

Nice-to-Have Skills:

Experiences with Google Big Query platform.

Knowledge of CI/CD practices for data workflows.

Job Types: Full-time, Permanent

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Benefits:

• Cell phone reimbursement
• Health insurance
• Paid time off
• Provident Fund

Schedule:

• Day shift

Work Location: In person