? Location: Remote (Asset collection from client location required)
? Employment Type: Contract
? ? Experience: 10+ Years
? Shift: 2:00 PM – 11:00 PM IST
Mandatory Skills
- SQL Server
- Python
- Apache Airflow
- Hadoop
- Google BigQuery
- Data Lake
Key Responsibilities
- Lead and mentor the Data Engineering team.
- Manage and support production data pipelines on Google Cloud Platform (GCP).
- Troubleshoot and resolve data pipeline issues.
- Optimize SQL queries, Airflow DAGs, and data workflows.
- Ensure smooth production deployments and change management.
- Implement automation and process improvements using Python and SQL.
Required Experience
- 10+ years of Data Engineering experience.
- Robust expertise in Google BigQuery, Airflow, Python, SQL Server, Hadoop, and Data Lake.
- Experience with GCP-based data pipelines and production support.
- Hands-on experience with data warehouse concepts, dimensional modeling, and ETL processes.
- Excellent leadership and communication skills.
Good to Have
- Knowledge of Kimball Data Warehouse methodology.
- Experience with Salesforce data integration.
- Experience working with global/offshore teams.
📌 Big Data Engineer (10+years) (India)
🏢 MindBrain
📍 India
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