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EXL

Senior Data Engineer

EXL

. Develop and maintain data pipelines, ETL processes, and data models .

Posted 9/17/2026full-timeGurugram • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipelines, ETL processes, and data models, with a strong focus on Azure Databricks and data governance. Proven ability to optimize data solutions and collaborate effectively with business stakeholders to support analytics and reporting.

Highest-signal resume keywords
Azure DatabricksETL DevelopmentData GovernanceAgile MethodologiesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonPySparkSQLData ModelingData PipelinesData QualityKPI ReportingData MigrationData Solution OptimizationSnowflake
Soft Skills
Strong Communication SkillsStakeholder Management
Tools & Technologies
Azure Data FactoryPower BIAzure DevOpsGitAWS
Industry Keywords
Data Governance FrameworksAgile Delivery Processes

Tech Stack

Tools & technologies
AWSAzureETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Develop and maintain data pipelines, ETL processes, and data models
  • Migrate data from multiple sources to Databricks
  • Implement data quality and governance frameworks
  • Optimize data solution performance
  • Collaborate with business stakeholders
  • Support analytics and KPI reporting
  • Manage Agile delivery processes

Requirements

What you’ll need
  • Senior Azure Data Engineer with 10+ years of experience in building scalable data solutions
  • Expertise in Azure Databricks, Azure Data Factory, Python, PySpark, SQL, data modeling, data warehousing, ETL development, and Snowflake
  • Experience with data governance, Agile methodologies, stakeholder management, and strong communication skills
  • Knowledge of Power BI, Azure DevOps, Git, and AWS is preferred
  • Bachelor's Degree