Job Title: Senior Data Engineer (Technical Lead)

Location: Remote (Asset collection from client location required)

Experience: 10+ Years

Shift: 2:00 PM – 11:00 PM IST

Mandatory Skills

SQL Server

Python

Apache Airflow

Hadoop

Google BigQuery

Data Lake

GCP (Google Cloud Platform)

Key Responsibilities

Lead and mentor the Data Engineering team.

Manage and support production data pipelines on GCP.

Troubleshoot and resolve pipeline failures and data issues.

Develop and optimize Airflow DAGs.

Perform SQL tuning, data backfills, and pipeline enhancements.

Ensure smooth production deployments with proper change management.

Drive automation and continuous improvements using Python and SQL.

Required Experience





10+ years of Data Engineering experience.

Strong expertise in Google BigQuery, Airflow, Python, and SQL.

Experience with Data Lake, Data Warehouse, and ETL pipelines.

Knowledge of SCD Type 1/2, partitioning, clustering, and data modeling.

Experience leading technical teams or handling Technical Lead responsibilities.

Valuable understanding of production support and ITIL/change management processes.

Good to Have

Kimball Data Warehouse methodology.

Salesforce data integration.

Experience working with offshore/global teams.

📌 Senior Big Data Engineer(10+ years) (India)
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