Data Engineer

Design and develop data pipelines for structured and unstructured data.

Extract data from databases, APIs, applications, files, and other sources.

Transform and clean data using ETL/ELT processes.

Build and maintain data warehouses and data lakes.

Develop efficient SQL queries and data processing workflows.

Integrate data from multiple sources.

Ensure data quality, accuracy, consistency, and availability.

Monitor data pipelines and troubleshoot failures.

Optimize data processing and database performance.

Work with Data Analysts, Data Scientists, ML Engineers, and software teams.

Implement data security and access controls.

Automate data engineering workflows.

Document data pipelines, schemas, and processes.

Support real-time or batch data processing systems.

Deploy and maintain data solutions in cloud environments.