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EXL

Lead Assistant Manager

EXL

. Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL .

Posted 10/14/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and maintaining data pipelines and ETL processes using Databricks, ADF, and Azure SQL, with a strong focus on data orchestration, automation, and cost optimization strategies. Proficient in developing REST APIs for data exchange and system interoperability, supported by advanced skills in SQL and Python.

Highest-signal resume keywords
Data Pipeline DevelopmentETL Process DesignAdvanced SQL SkillsAdvanced Python SkillsIntermediate Azure Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringETL Pipeline DesignData ManagementREST API DevelopmentData ModelingAutomationCost OptimizationVersioningCode ModularizationCI/CD
Tools & Technologies
DatabricksADFAzure SQLADLSGitHubSSMS
Industry Keywords
Data OrchestrationData AutomationData ExchangeSystem Interoperability

Tech Stack

Tools & technologies
AzureETLPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL
  • Implement data orchestration, automation, and cost optimization strategies on Azure
  • Design and understand data models
  • Develop and integrate REST APIs for data exchange and system interoperability

Requirements

What you’ll need
  • Bachelor's degree / graduate degree in Computer Science, Data Science, or a related field
  • 6 to 8 years of experience stated in the job title section
  • 3-4 years of experience in data engineering or a related field
  • Advanced SQL skills
  • Advanced Python skills
  • Intermediate REST API skills
  • Intermediate Azure skills
  • Intermediate Databricks skills
  • Experience with Databricks, ADLS, Azure SQL, ADF, GitHub, and SSMS
  • Knowledge of CI/CD, orchestration, automation, code modularization, versioning, data management, data engineering, and ETL pipeline design