Description

You will design and build end-to-end data architectures, owning the full development lifecycle from coding to deployment.

This role is on-site.

Responsibilities

• Build and maintain data lakes, warehouses, and marts using relational data processing technologies.
• Manage data ingestion, preparation, integration, and operationalization for structured and unstructured data.
• Own the full development lifecycle including coding, testing, debugging, and deployment.
• Collaborate with teams to prioritize tasks and adapt to evolving data requirements.
• Lead technical projects while contributing as an individual performer.

Required Skills

• 5+ years of experience in data engineering.
• Extensive hands-on experience with PySpark.
• Proficiency in Delta Lake, Spark SQL, and SQL Server.
• Experience with MS SQL and relational data processing.
• Strong knowledge of ETL and Data Warehousing concepts.
• Expertise in Data Modelling, Design, and Architecture.
• Experience with orchestration tools and GitHub.
• Background in Cloud and Data Integration.

Preferred Skills

• Experience in designing end-to-end data integration strategies.

Key Skills

Education

Any Graduate