Description

You will design, develop, and optimize scalable data pipelines and solutions to support enterprise-wide data initiatives.

This role is on-site.

Responsibilities

• Develop and maintain scalable ETL data pipelines using Databricks SQL and Python on Azure Cloud.
• Design and implement data integration workflows across structured and unstructured sources.
• Collaborate with data architects and business teams to translate requirements into efficient data solutions.
• Ensure data quality, consistency, and integrity across systems.
• Monitor, troubleshoot, and optimize data workflows in Azure-based environments.

Required Skills

• 6+ years of hands-on 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.
• Practical expertise in Azure Cloud services and core Azure Data Services (Data Factory, Data Lake, Synapse, Key Vault).
• Experience with relational and non-relational database technologies such as SQL Server, PostgreSQL, and Oracle.
• Any Graduate degree.

Preferred Skills

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

Key Skills

Education

Any Graduate