Director | Azure Data Engineer | Bengaluru | Engineering | Data Modernization & Migration
Deloitte (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 20h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Deloitte
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Deloitte you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and execute data modernization and migration initiatives focusing on Azure data engineering technologies.
- Develop, manage, and optimize data pipelines and architectures using Azure Data Factory, Databricks, and PySpark.
- Ensure efficient data warehousing, lake, and lakehouse solutions to support organizational data needs.
Minimum Requirements
- Strong expertise in Azure Data Factory, Databricks, SQL, PySpark, GitHub, and Python.
- Good understanding of Data Warehouse, Data Lake, and Data Lakehouse concepts.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location requirement: Bengaluru.
Ideal Candidate Profile
- Experienced in managing end-to-end data engineering projects on Azure cloud environments.
- Technically proficient with hands-on skills in cloud-based data pipeline development and automation.
- Able to adapt quickly to evolving technical environments and solve complex data challenges.