Description

You will design, develop, and manage end-to-end data pipelines on the Azure Cloud Platform.

This role is on-site.

Responsibilities

• Design and build scalable data solutions using Medallion Architecture.
• Develop and manage ETL/ELT pipelines for large-scale data processing.
• Manage Azure Databricks workspaces, including cluster configuration and access control.
• Translate business requirements into technical data engineering solutions.

Required Skills

• 8+ years of experience in data engineering.
• Expert proficiency in SQL.
• Strong experience with PySpark and Python for data processing.
• Hands-on experience with Azure Data Factory (ADF) and Azure Databricks.
• Proven ability to design and implement ETL/ETL Process pipelines.
• Experience with Azure Data Lake Storage.
• Familiarity with SSIS.
• Knowledge of ingestion frameworks and orchestration.

Key Skills

Education

Any Graduate