Role & responsibilities

- 5+ years of experience in Data Engineering.
- Solid hands-on experience with ETL/ELT processes.
- Strong SQL skills, including query optimization.
- Good hands-on experience with Python for data engineering.
- Strong experience with GCP, AWS or Azure.
- Understanding of Data Warehousing and Data Modeling concepts.
- Experience working with large-scale data and production data pipelines.

Preferred candidate profile

- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Develop data integration solutions using AWS or Azure cloud services.
- Write complex and optimized SQL queries for data extraction, transformation, and analysis.
- Develop and maintain data processing solutions using Python.
- Work with structured and semi-structured data from multiple sources.
- Perform data transformation, cleansing, validation, and quality checks.
- Monitor and troubleshoot data pipelines and resolve production issues.
- Collaborate with Data Architects, Developers, Analysts, and other stakeholders.
- Ensure data pipelines are scalable, reliable, secure, and optimized for performance.

Support cloud-based data platform development and migration initiatives.

📌 Walk-in || Gcp Data Engineer (Kolkata)
🏢 Calsoft
📍 Kolkata