About the Role:

We are seeking a Data Engineer with 7 years of experience in building and managing data pipelines. The ideal candidate has robust SQL and Python skills, hands-on experience with Airflow, and exposure to cloud platforms (Google Cloud Platform preferred, AWS/Azure acceptable).

Experience with Git is a must.

Key Responsibilities:

- Design, develop, and maintain ETL pipelines using Apache Airflow.
- Write optimized SQL queries for data extraction and transformation.
- Build and automate workflows using Python (pandas, pySpark, or similar libraries).
- Deploy, manage, and scale pipelines on cloud platforms (GCP/AWS/Azure).
- Collaborate with cross-functional teams to ensure data quality and reliability.
- Troubleshoot and optimize pipeline performance and identify and resolve pipeline failures.
- Apply version control practices (Git) for collaborative development.

Required Skills & Qualifications:





- 3 years of experience in Data Engineering or a related role.
- Strong knowledge of SQL (query optimization, joins, window functions).
- Proficiency in Python for data engineering tasks.
- Hands-on experience with Apache Airflow or any orchestration tool.
- Cloud experience: Google Cloud Platform (preferred) or AWS/Azure.
- Mandatory experience with Git (branching, pull requests, code reviews).
- Basic understanding of Kafka and Kubernetes.
- Experience with data warehousing concepts and modeling.

Nice to Have:

- Familiarity with monitoring/alerting tools (e.g., Prometheus, Grafana, Cloud Monitoring).
- Exposure to CI/CD pipelines.
- Experience with streaming pipelines.
- Experience with data quality tools.

📌 Data Engineer - SQL/Python (India)
🏢 High Impact Talent
📍 India