Location: Remote (Candidate must be available to collect assets from the client location)
Shift: 2:00 PM – 11:00 PM IST
Job Summary
We are seeking an experienced Senior Data Engineer (Technical Lead) to lead a Business-As-Usual (BAU) Data Engineering team responsible for maintaining, supporting, and enhancing production data pipelines on Google Cloud Platform (GCP). The ideal candidate will be a hands-on technical leader with expertise in designing, optimizing, and troubleshooting large-scale data pipelines while mentoring team members and ensuring production stability.
Key Responsibilities
Lead and mentor the Data Engineering team, providing technical guidance and best practices.
Manage and support end-to-end production data pipelines from Data Lake to Data Warehouse.
Troubleshoot and resolve production issues, pipeline failures, and data quality problems.
Develop, optimize, and maintain ETL/ELT workflows using Python, SQL, and Apache Airflow.
Perform SQL optimization, data validation, backfills, and workflow enhancements.
Ensure smooth production deployments by following change management, testing, and rollback procedures.
Monitor pipeline performance and implement improvements to increase reliability and efficiency.
Collaborate with cross-functional teams and provide overlap with US business hours when required.
Drive continuous improvements through automation and process optimization.
Required Skills
10+ years of experience in Data Engineering.
Strong expertise in SQL Server and advanced SQL.
Hands-on experience with Python for data processing and automation.
Robust experience with Apache Airflow/Cloud Composer.
Extensive knowledge of Google BigQuery.
Experience with Hadoop and Data Lake architectures.
Strong understanding of Data Warehousing concepts, including Dimensions, Facts, and SCD Type 1/2.
Experience in production support, incident management, and change control.
Excellent leadership, communication, and stakeholder management skills.
Preferred Skills
Experience with Google Cloud Platform (GCP) services.
Knowledge of Kimball Data Warehouse Methodology.
Experience integrating data from Salesforce.
Prior experience leading offshore or distributed Data Engineering teams.
📌 Senior Data Engineer 10+ yrs (India)
🏢 MindBrain
📍 India
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