Description

Design, develop, and maintain robust ETL/ELT data pipelines. Build and optimize large-scale data warehouses and data lakes.

Develop data models to support reporting, analytics, and operational needs.

Ensure data quality, integrity, governance, and security across platforms.

Work with structured and unstructured data from multiple sources.

Collaborate with business analysts, data scientists, and application teams.

Optimize SQL queries and data processing for performance and scalability.

Implement cloud-based data solutions using platforms such as AWS, Azure, or GCP.

Automate data workflows and monitoring using modern data engineering tools.

Support AI/ML initiatives by providing reliable and high-quality datasets

Key Skills

Education

Bachelor's degree