Mandatory skill sets:

- Proficient in PySpark and Python for data processing and analysis.
- Strong experience with Azure Data Lake Services (ADLS) and Data Lake architecture.
- Hands-on experience with Databricks for data engineering and analytics.
- Knowledge of Unity Catalog for data governance.
- Expertise in Delta Live Tables for real-time data processing.
- Familiarity with Azure Fabric for data integration and orchestration.
- Proficient in Azure Data Factory (ADF) and Synapse Analytics for ETL and data warehousing.
- Experience in pulling data from multiple sources like SAP, Dynamics 365, and others.
- Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team.




- Attention to detail and commitment to data accuracy and quality.

Preferred skill sets: Handson ETL / Datalake is good to have..

Certifications required

- Certification in Azure Data Engineering or relevant Azure certifications.
- DP203 (Must have)
- Certification in Databricks.
- Databricks certified Data Engineer Associate (Must have)
- Databricks certified Data Engineer Qualified (Good Have)

Years of experience required: 4-8 Years Educational Qualification B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs.

📌 Azure Data Bricks Developer (Mumbai)
🏢 PwC India
📍 Mumbai