We are looking for a highly motivated and detail-oriented Data Engineer to join
our growing data and analytics team. In this role, the candidate will be
responsible for designing, developing, optimizing, and maintaining scalable data
pipelines and workflows that support enterprise reporting, analytics, and
business decision-making. This role requires strong expertise in contemporary data
engineering practices, including ETL/ELT development, data quality validation,
data modeling, and cloud-based data platform implementation.

The ideal candidate will work closely with cross-functional stakeholders,
including business teams, analysts, architects, and developers, to ensure
reliable and high-quality data availability across multiple systems. A key focus
of this role will be to build robust and efficient data solutions using Azure
and Databricks technologies, implement data validation and monitoring
mechanisms, and proactively troubleshoot performance or pipeline issues.

This position plays an key role in enabling data-driven transformation
within the organization,



particularly in supporting insurance domain use cases,
where data accuracy, consistency, and governance are critical. The candidate is
also expected to contribute within an Agile delivery model, participate in
sprint ceremonies, and continuously improve data engineering processes,
standards, and platform performance.

RESPONSIBILITIES
Develop and maintain scalable and effective data pipelines to ensure seamless
data flow across various systems address any issues or bottlenecks in
existing pipelines.
Implement robust data checks to ensure the accuracy and integrity of data.
Summarize and validate large datasets to ensure they meet quality standards.
Monitor data jobs for successful completion. Troubleshoot and resolve any
issues that arise to minimize downtime and ensure continuity of data
processes.
Regularly review and audit data processes and pipelines to ensure compliance
with internal standards

📌 Cloud Data Engineer Gurugram
🏢 EXL
📍 Gurugram