Description

You will build and maintain the data infrastructure supporting analytics and reporting.

This role is on-site.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Implement data integration solutions using ADF, Kafka, and stream processing frameworks.
• Build and optimize data models in Snowflake and other cloud platforms.
• Ensure data quality, governance, and security compliance across all data processes.
• Develop and maintain CI/CD pipelines for data workflows and deployments.

Required Skills

• 5+ years of experience in data engineering.
• Expertise with Snowflake for data warehousing and performance tuning.
• Hands-on experience with Kafka for real-time data streaming.
• Proficiency in Azure Data Factory (ADF) for orchestration.
• Solid knowledge of PySpark for big data transformations.
• Advanced SQL skills for query optimization.
• Experience in ETL/ELT development and data modeling (star schema).
• Familiarity with Azure and Snowflake cloud platforms.
• Experience with CI/CD tools including Azure DevOps, Git, and Jenkins.

Key Skills

Education

Any Gradute