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EXL

Lead Assistant Manager

EXL

. Manage data engineering projects .

Posted 10/5/2026full-timeRemote • United StatesSenior💰 $75,000 - $80,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing data engineering projects, building AI agents, and developing scalable ETL/ELT pipelines. Proficient in data quality, governance, and cloud technologies, with a strong foundation in Python and SQL.

Highest-signal resume keywords
Data EngineeringAI EngineeringPythonSQLCloud Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data QualityMetadata ManagementData GovernanceETL PipelinesELT PipelinesAgentic AILLM ApplicationsCI/CDAgile DeliveryData Processes
Soft Skills
Strategic GuidanceTeam LeadershipCollaboration
Tools & Technologies
AzureAWSGCP
Certifications & Qualifications
Graduate in Computer ScienceGraduate in Data Science
Industry Keywords
Data EngineeringAI SolutionsData ModernizationData ClassificationData Lineage

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Manage data engineering projects
  • Provide strategic guidance
  • Oversee the data engineering team
  • Ensure continuous improvement of data processes
  • Build AI agents and multi-agent solutions
  • Develop agentic workflows and LLM integrations
  • Implement data quality, classification, lineage, and governance solutions
  • Design scalable ETL/ELT pipelines and modern data platforms
  • Support cloud-based data modernization programs
  • Collaborate with business, architecture, and engineering teams

Requirements

What you’ll need
  • 8+ years in Data Engineering, AI Engineering, or Software Development
  • Strong Python and SQL expertise
  • Experience with Agentic AI and LLM applications
  • Cloud experience in Azure, AWS, or GCP
  • Data Quality, Metadata Management, and Data Governance experience
  • CI/CD and Agile delivery experience
  • Graduate in Computer Science, Data Science, or related field
  • 3-4 years of experience in data engineering or a related field

Benefits

Comp & perks
  • Benefits information is provided at https://www.exlservice.com/us-careers-and-benefits