Proven experience working with Azure Databricks in large-scale data environments, 6-8 years of experience with Databricks or similar technologies.

Must be well versed with Databricks Lakehouse, Unity Catalog concept and its implementation in enterprise environments.

Must have strong understanding of Data warehousing and various governance and security standards around Databricks.

Prior experience handling ERP data like SAP, JD Edwards and high-level understanding of different functional modules is required.

In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles. Strong understanding of cloud computing principles, particularly within the Azure ecosystem.





Proficiency in programming languages such as Python /PySpark and query languages like SQL.

Experience with Databricks Unity Catalog, Databricks Workflow, Delta Sharing, Auto Loader, Delta Live Table, Overwatch, Databricks Volume etc.

Good to have knowledge of RESTful API and its implementation.

Experience with data modeling, data warehousing, and working with both structured and unstructured data.

Excellent problem-solving skills and the ability to work in a collaborative team workplace.

Strong communication skills to convey complex technical concepts to non-technical stakeholders.

📌 Data Engineer (India)
🏢 Digital Transformers - Ireland
📍 India