Lead Analytics Engineer
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About the Role
We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization. For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits Salary up to $155k plus benefits
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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
- - 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
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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