Azure Data Engineer

Senior Data Engineer - Azure & Databricks

Development and maintenance of Data Pipelines, Modernisation of cloud data platform

• Solid understanding of data pipeline architecture, cloud infrastructure, and best practices in data engineering.
• Databricks, ADF & SQL are mandatory to have
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaborate effectively in a team environment.
• Skilled in independently analyzing large datasets, identifying discrepancies and inconsistencies, and recommending corrective actions.
• Demonstrated expertise in working with SQL Server, Oracle, Azure SQL Databases, and APIs.
• Experience with at least one programming language (Python).
• Hands‑on experience with Azure Data Factory (ADF), Logic Apps, and Runbooks.
• Familiarity with the Azure cloud platform and PowerShell scripting.
• Strong problem‑solving and analytical skills.
• Excellent communication and teamwork abilities, with experience engaging stakeholders at all levels.
• Capable of managing and adjusting to evolving priorities from multiple projects.

SQL,Python,Apache Spark,Data Bricks,Azure Data Factory,SQL Server,Azure SQL Database,ETL,Powershell Scripting

Experience Requirements

• At least 8 years experience in Data Engineering space
• At least 4 experiences in Apache Spark/ Databricks
• At least 4 years of experience in Python & at least 7 years in SQL and ETL stack.