1. Solid understanding of data pipeline architecture, cloud infrastructure, and best practices in data engineering.
2. Databricks , ADF & SQL are mandatory to have
3. Excellent problem-solving skills and attention to detail.
4. Ability to work independently and collaborate effectively in a team workplace.
5. Skilled in independently analyzing large datasets, identifying discrepancies and inconsistencies, and recommending corrective actions.
6. Demonstrated expertise in working with SQL Server, Oracle, Azure SQL Databases, and APIs.
7. Experience with at least one programming language (Python).
8. Hands-on experience with Azure Data Factory (ADF), Logic Apps, and Runbooks.
9. Familiarity with the Azure cloud platform and PowerShell scripting.
10. Strong problem-solving and analytical skills.




11. Excellent communication and teamwork abilities, with experience engaging stakeholders at all levels.
12. Capable of managing and adjusting to evolving priorities from multiple projects.

Roles and Responsibilities

Senior Data Engineer - Azure & Databricks

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

📌 Azure Data Engineer (Noida)
🏢 R Systems International
📍 Noida