Lead Analytics Engineer
EXL Remote, US
Pay not stated
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About the role
This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources
Develop and optimize batch and near real-time data processing pipelines for analytics and reporting
Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases
Implement and maintain data models that support efficient querying and reporting
Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies
Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines
Exposure to AI initiatives and experience building data pipelines supporting AI workflows
Work with data architects and engineering teams to implement scalable data platform designs
Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
Maintain documentation for data pipelines, data models, and data workflows
Qualifications
Bachelor's/Master's in Engineering 5-8 years
Posting text as published by EXL.
The evidence behind this listing
- Workplace
- Remote Employer field
- Seniority
- senior From the job title
- Employment type
- full time
- Location as listed
- Remote, US
Pay and work authorization
- Stated pay
- Not stated
- Visa sponsorship
- Not stated
- Security clearance
- Not established
- Citizenship
- Not established