Senior Data Engineer

Lead I – Data Engineering (Azure)

Location: Thiruvananthapuram, Kerala (Hybrid)

Experience: 5+ Years

CTC: Up to ₹27 LPA

Banking domain experience is strongly preferred.

We are looking for an experienced Lead I – Data Engineering (Azure) to join a leading MNC.

Primary Skills

• Data Engineering
• Azure Data Factory
• Azure Databricks
• Azure DevOps
• Python
• PySpark

Role & Responsibilities

• Maintain foundational knowledge of upstream data, including data profiling, data quality reporting, and metadata.
• Support the acquisition and ingestion of data.
• Analyze business and data requirements to develop data models, ETL processes, business rules, data lifecycle management, governance, lineage, and metadata.
• Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines.
• Develop and maintain data models and ETL jobs using standard tools.
• Provide support to development, QA, and production support teams to resolve data issues and support SIT/UAT/PAT testing.
• Support partners and stakeholders in interpreting and analyzing data.
• Execute source code check-in/check-out and support CI/CD deployments and release management activities.
• Participate in application design and architecture reviews.
• Ensure metadata and data lineage are captured and aligned with enterprise data management standards.

Experience Required

• Azure Data Factory – 5+ Years
• Azure Databricks – 5+ Years
• Azure DevOps – 5+ Years
• Unity Catalog – 2+ Years

Preferred: Banking domain experience, Delta Live Tables (DLT), TIBCO, SharePoint, and On-Prem SQL connectors.