Required Skills:

• 4+ years of experience in Business Intelligence, Data & Report Engineering, or related roles.

• Hands on experience in Spark engineering, PySpark, Spark SQL, KQL, Spark performance optimization is expected from candidate.

• Hands-on experience in DevOps, CI/CD

• Good experience in applications hosted on Azure (Azure hands on Engineering applications is preferred)

• Candidate should have experience in Fabric workload Operations

• Excellent oral and written communication skills with ability to independently engage all stakeholders onsite and offshore

• Knowledge in Spark engineering - someone who has worked on data bricks, Fabric, Databricks, Spark application engineering.

• Skilled with data analysis, data visualization and reporting & analytics.

• Strong understanding of SDLC and engineering operations practices.

• Experience in Agile/Scrum methodologies and project management tools such as Jira.

• Solid prioritizing, interpersonal, problem-solving, task management (from conception to completion), & planning skills.





• Certifications in relevant BI and cloud technologies (preferably Azure) are a plus.

Desired Skills (Good To Have):

• Experience in Medallion architecture

• Knowledge in Microsoft Fabric, PowerBI, Azure services including Microsoft Fabric, Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.

• Key skills - Framework development, DataOps, Platform engineering & automation

• Candidate with experience in AI with Automation and Data agents

• Knowledge of Databricks

• Data modeling (Native HANA), TDV, SQL Scripting

• Experience of ETL tools, preferably Talend

Responsibilities:
- Responsible for Fabric, PowerBI migrations, Support and Engineering tasks
- Understand design, relational and non-relational data stores on Azure.
- Responsible for problem, Incident management in Microsoft Fabric, PowerBI, Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Synapse, SQ

📌 Azure Data Engineer (Pune)
🏢 Smart Soource Pune
📍 Pune