Lead Analytics Engineer

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