Description

You will lead data engineering initiatives, focusing on ETL processes, data warehousing, and pipeline architecture.

This role is hybrid.

Responsibilities

• Design and implement data pipelines using Databricks and PySpark.
• Manage data lineage and enforce Medallion Architecture standards.
• Develop complex SQL logic including Stored Procedures, Views, and User Defined Functions.
• Execute data migrations and provide production support for data systems.

Required Skills

• 10+ years of professional experience in data engineering.
• Strong proficiency in SQL Queries, Stored Procedures, and Views.
• Expertise in Databricks and PySpark development.
• Hands-on experience with Azure Cloud services (ADF, Storage, Azure Data Lake).
• Familiarity with Data Lineage and Unity Catalogue concepts.
• Experience with SQL Server and CTEs.
• Proven ability in Data Analysis and ETL implementation.

Key Skills

Education

Any Graduate