Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EXL

Technology Engineering Lead

EXL

. Lead the architecture, development, and production rollout of a batch feature store supporting analytics and AI use cases .

Posted 10/10/2026full-timeUnited StatesSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and implementing scalable data engineering solutions, including advanced proficiency in PySpark and SQL for ETL/ELT processes. Proven ability to lead technical teams, manage production releases, and ensure data quality and performance in an Agile environment.

Highest-signal resume keywords
Advanced PySparkETL/ELT DevelopmentSQL Performance TuningData Engineering LeadershipCA7 Batch Scheduling

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PySparkSQLETLELTData QualityData TransformationLinux ScriptingAI-Assisted DevelopmentFeature Store ArchitecturePerformance Monitoring
Soft Skills
Strong CommunicationMentoringStakeholder Management
Tools & Technologies
GitBitbucketCI/CDJiraHiveOracle
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
BankingFinancial ServicesAgile DeliverySDLCChange Management

Tech Stack

Tools & technologies
ETLLinuxOraclePySparkSDLCSQL

About the role

Key responsibilities & impact
  • Lead the architecture, development, and production rollout of a batch feature store supporting analytics and AI use cases
  • Design scalable PySpark and Impala SQL pipelines that transform data from Hive and Oracle into consistent, reusable features
  • Define technical standards for feature logic, data quality, reconciliation, performance, monitoring, and failure recovery
  • Own batch scheduling and dependencies using CA7 or an equivalent platform
  • Provide hands-on technical direction through design reviews, code reviews, troubleshooting, and mentoring
  • Establish effective Git/Bitbucket, CI/CD, testing, and AI-assisted development practices
  • Coordinate production releases and change management in line with SDLC requirements
  • Work closely with business, analytics, and technology stakeholders to resolve requirements, communicate trade-offs, and deliver against milestones
  • Plan and track work in an Agile environment using Jira

Requirements

What you’ll need
  • Bachelor's Degree
  • 8+ years of experience in data engineering, data platforms, or enterprise application development
  • 5+ years of hands-on experience with PySpark, large-scale ETL/ELT development, and advanced SQL
  • 3+ years leading technical design and delivery for data engineering teams
  • Experience in banking or financial services is a plus
  • Advanced PySpark and Impala SQL, including query and pipeline performance tuning
  • Proven experience designing enterprise-scale ETL/ELT pipelines
  • Strong expertise with Hive and Oracle data platforms
  • Experience with CA7 or equivalent batch scheduling
  • Proficiency in Linux scripting, Git/Bitbucket, and CI/CD
  • Working knowledge of Agile delivery, Jira, SDLC, production release, and change management
  • Practical experience with AI-assisted development tools
  • Strong communication skills and a track record of leading delivery across multiple stakeholder groups

Benefits

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