Lead Analytics Engineer

Data Engineering-Big Data Engineering

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

Required Skills

• Data Architecture
• Data Strategy
• ETL Design
• Interpersonal Dynamics with Coworkers
• Resource Management
• Results Orientation
• Time Management Skills
• Working under Pressure
• Writing Communication Skills