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# Data Engineer

- **Company:** EXL SERVICE
- **Location:** United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Program Optimization, Data Governance, Extract Transform Load (ETL), Data Security, Distributed Data Store, Python (Programming Language), Metadata, Cloud Services, Standard Sql, Data Ingestion, Apache Spark, Data Lakes, Performance Monitor, Data Pipelines, Databricks
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5c3a133353b2eb8e

## About the Role

* Qualifications: Minimum 6 years of experience
 * Strong SQL, Python, Spark.
 * Python expertise (mandatory) and hands-on experience with AWS services and/or Databricks.
 * Experience with cloud data platforms AWS and/or Azure.
 * Knowledge of data modelling, governance, and metadata.
 * Understanding of large-scale distributed data

## Description

Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Develop data ingestion, transformation, integration, and data quality capabilities.

Support data governance, monitoring, reconciliation, and platform optimization.

Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Develop data ingestion, transformation, integration, and data quality capabilities.

Support data governance, monitoring, reconciliation, and platform optimization.

Key Responsibilities:

 * Develop and optimise data pipelines and ETL/ELT processes.

 * Build and maintain data warehouse and data lake structures.

 * Ensure data quality, governance, and security across platforms.

 * Collaborate with data scientists and engineering teams.

 * Monitor performance and troubleshoot data workflows.


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