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EXL

Assistant Manager

EXL

. Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows on Azure-based data platforms .

Posted 9/23/2026full-timeIndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and developing scalable ETL/ELT pipelines and data processing workflows on Azure platforms, utilizing Python, PySpark, SQL, and Azure Databricks. Strong analytical and problem-solving skills are essential for optimizing performance and ensuring data quality.

Highest-signal resume keywords
Python ProgrammingPySpark DevelopmentSQL ProficiencyAzure DatabricksETL/ELT Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonPySparkSQLPL/SQLAzure DatabricksData Pipeline DevelopmentData Integration SolutionsPerformance OptimizationData Quality AssuranceTroubleshooting
Soft Skills
Analytical SkillsProblem-SolvingCommunicationInterpersonal SkillsCollaboration
Tools & Technologies
Azure Data ServicesMicrosoft AccessVBA Macros
Industry Keywords
Data EngineeringCloud-Based Data PlatformsAgile MethodologyData MigrationData Modernization

Tech Stack

Tools & technologies
AzureCloudETLPySparkPythonSQLVBA

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows on Azure-based data platforms
  • Develop high-performance data engineering solutions using Python, PySpark, SQL, PL/SQL, and Azure Databricks while ensuring data quality and reliability
  • Collaborate with business stakeholders, solution architects, and data modellers to translate business requirements into scalable technical solutions
  • Support data migration, modernization, optimization, and performance tuning initiatives while following engineering best practices

Requirements

What you’ll need
  • Bachelor's Degree
  • 2–5 years of experience
  • Strong hands-on experience in Python, PySpark, SQL, PL/SQL, and Azure Databricks
  • Good understanding of ETL/ELT frameworks, distributed data processing, Azure data services, and performance optimization techniques
  • Experience building and maintaining enterprise-grade data pipelines, data integration solutions, and cloud-based data platforms
  • Ability to troubleshoot complex data engineering issues and write efficient, optimized code for large-scale data processing
  • Strong analytical and problem-solving skills
  • Excellent communication, interpersonal, stakeholder management, and collaboration skills
  • Experience working in Agile cross-functional teams
  • Experience with Microsoft Access (AccessDB) and VBA Macros for legacy application support, automation, or migration projects is good to have