Role Summary

We are looking for a Data Engineer with robust skills in Python, SQL, ETL, and Big Data technologies to design, build, and maintain scalable data pipelines. The ideal candidate will work with large datasets, develop ETL processes, optimize data workflows, and support business intelligence and analytics initiatives.

Key Responsibilities

- Design, develop, and maintain ETL/ELT data pipelines.
- Extract, transform, and load data from multiple sources.
- Write efficient SQL queries for data extraction, transformation, and reporting.
- Develop data processing applications using Python.
- Build and optimize data pipelines for large-scale data processing.
- Ensure data quality, integrity, and reliability.
- Work with structured and unstructured data.
- Collaborate with data analysts, data scientists, and business teams.




- Monitor and troubleshoot data pipeline issues.
- Improve data processing performance and scalability.

Required Skills

- Strong programming experience in Python.
- Advanced knowledge of SQL.
- Hands-on experience with ETL tools and data integration.
- Experience with Big Data technologies such as Hadoop, Spark, Hive, or Kafka.
- Knowledge of data warehousing concepts.
- Experience with relational and NoSQL databases.
- Understanding of data modeling and data architecture.
- Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
- Experience with version control (Git) and CI/CD is an advantage.

📌 Gcp Data Engineer (Kolkata)
🏢 Elabs Infotech
📍 Kolkata