Data Engineer - ETL Pipeline (4-6 yrs)

Key Responsibilities :

- Design, develop, and maintain scalable ETL/ELT pipelines.

- Build, deploy, and manage secure and scalable APIs.

- Optimize data workflows and implement CI/CD pipelines.

- Ensure data quality, governance, and compliance with BFSI regulations.

- Collaborate with cross-functional teams for data integration and insights.

- Monitor and optimize the performance of data systems.

Qualifications and Skills :

- Bachelor's or Master's in Computer Science or related field.

- 3+ years of experience in data engineering, preferably in BFSI.

- Expertise in Python, SQL, and tools like Apache Airflow, Kafka.

- Proficiency in API development using Flask, FastAPI, or Django REST Framework.

- Hands-on experience with cloud platforms (AWS, Azure, GCP).

- Knowledge of data modeling, big data tools (Spark/Hadoop), and relational databases.

- Familiarity with DevOps tools and containerization (Docker, Kubernetes)