Description

Design, build, and maintain data solutions across the production lifecycle, owning the development of pipelines for Data Lakes, Warehouses, and Marts.

This role is hybrid.

Responsibilities

• Design and implement data solutions using Python, SQL, and ETL tools.
• Develop and maintain robust data pipelines for Data Lakes, Data Warehouses, and Data Marts.
• Collaborate with product teams to define requirements and propose technical approaches.
• Test solutions thoroughly and troubleshoot complex ETL and SQL issues to ensure data integrity.

Required Skills

• 5+ years of experience in data engineering and pipeline development.
• Proficiency in Python and SQL programming.
• Hands-on experience with Informatica IICS and Informatica PowerCenter.
• Experience designing and building data pipelines in AWS (S3, Lambda, API Gateway, RDS, Redshift).
• Strong knowledge of Kafka data streaming and API integration.
• Proficiency in Unix shell scripting.
• Experience developing Data Lakes, Data Warehouses, and Data Marts.
• Analytical problem-solving skills applied to Big Data environments.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate