Lead AI & Analytics Engineer

Job Info

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