Description

You will architect and build scalable data platforms on Azure and Databricks.

This role is on-site.

Responsibilities

• Architect and implement scalable data platforms and pipelines on Azure and Databricks.
• Build and optimize data ingestion, transformation, and processing workflows for batch and real-time streams.
• Develop complex ETL/ELT pipelines ensuring high quality and performance.
• Design data models for analytics and operational workloads using relational and lakehouse systems.
• Mentor junior engineers and enforce engineering standards.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Azure and Databricks environments.
• Expertise with ADLS, Delta Lake, and Spark using Python.
• Experience building complex ETL/ELT pipelines.
• Working knowledge of PostgreSQL.
• Ability to define and enforce data governance and quality standards.
• Experience translating business requirements into technical data solutions.

Key Skills

Education

Any Graduate