Description

You will design, build, and maintain scalable ETL/ELT pipelines to ingest and transform structured and unstructured data for analytics.

This role is hybrid.

Responsibilities

• Develop and optimize data models, data warehouses, and data lakes.
• Implement data quality checks, governance, and metadata management.
• Integrate data from databases, APIs, and flat files.
• Monitor data workflows, troubleshoot pipeline failures, and resolve issues.
• Document system architecture, data flows, and transformation logic.

Required Skills

• 5+ years of experience in data engineering or a related technical role.
• Proficiency in SQL and experience with Python, Scala, or Java.
• Hands-on experience with ETL/ELT pipelines.
• Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
• Familiarity with Apache Spark and Airflow.
• Understanding of data warehousing concepts and data modeling (relational and dimensional).
• Experience with Git and CI/CD practices for data.

Key Skills

Education

Any Graduate