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EXL

Lead Analytics Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Hands-on engineering role to design, build, and maintain scalable ETL/ELT data pipelines, data warehouses and lakes, and data models. Optimize batch and near-real-time processing, implement query optimization and data quality checks, support AI data workflows, and collaborate with architects, analysts, and stakeholders.
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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

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