Data Engineer
EXL (company site, opens in a new tab)8+ yrsRemoteDirect career pageEst. 18–30 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows leveraging AWS cloud services.
- Build and manage data transformation frameworks using dbt and develop high-performance data models with complex SQL optimization.
- Collaborate with business stakeholders and cross-functional teams to deliver reliable, secure, and governed data solutions and mentor junior engineers.
Minimum Requirements
- 8+ years of hands-on experience in data engineering or analytics engineering roles.
- Advanced SQL skills with expertise in data modeling, query optimization, and working on large-scale databases.
- Strong experience with dbt, AWS (S3, Glue, Lambda, Redshift, Athena), and Python (including Pandas, NumPy).
- Flexible work location (Flexible / Hybrid / Remote) with no strict onsite requirement mentioned.
Ideal Candidate Profile
- Experienced in designing cloud-native, scalable data platforms using AWS cloud services and modern data engineering best practices.
- Skilled in managing complex data transformation projects with dbt and implementing CI/CD pipelines for data workflows.
- Able to work cross-functionally with business and engineering teams, lead technical discussions, and mentor junior team members effectively.