Description

Lead technical implementation of data projects and end-to-end ETL processes using Azure Databricks and Azure Data Factory.

This role is on-site.

Responsibilities

• Lead technical implementation of data projects using Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, and Python.
• Design and develop efficient ETL processes for large datasets.
• Translate business requirements into technical solutions through cross-functional collaboration.
• Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• Provide technical guidance, mentoring, and support to junior team members.

Required Skills

• 10+ years of experience in data engineering or related roles.
• Proficiency in Azure Data Factory (ADF) and Azure Databricks for data integration and processing.
• Strong expertise in writing complex SQL queries for data manipulation and analysis.
• Experience with Oracle PL/SQL for database development and management.
• Proficiency in Python for automation and scripting tasks.
• Solid understanding of data warehousing concepts, ETL processes, and data modeling.

Preferred Skills

• Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python.

Key Skills

Education

Any Gradute