Description

Design and implement scalable ETL pipelines and data integration workflows within the AMDM domain using Azure Databricks.

This role is on-site.

Responsibilities

• Develop and maintain scalable ETL data pipelines using Databricks SQL and Python on Azure Cloud.
• Design data integration workflows across structured and unstructured data sources.
• Translate business requirements into efficient, technical data solutions.
• Monitor, troubleshoot, and optimize data workflows in Azure-based environments.
• Ensure data quality, consistency, and integrity across all integrated systems.

Required Skills

• 5+ years of experience in Data Engineering or ETL development.
• Strong proficiency in Databricks for distributed data processing and transformation.
• Advanced skills in SQL and Python for building and automating data workflows.
• Hands-on experience with Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure Key Vault.
• Proficiency with relational and non-relational databases such as SQL Server, PostgreSQL, and Oracle.
• Experience with Azure DevOps and Azure Log Analytics.
• Working knowledge of Azure Cosmos DB, Microsoft Fabric, and Power BI.

Preferred Skills

• Familiarity with Stibo or similar Master Data Management (MDM) tools.

Key Skills

Education

Any Gradute