We are Hiring! Azure Data Engineer -Pune

SP Staffing; Pune District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

SP Staffing in Pune is seeking a highly experienced Azure Data Engineer to join our data team. The role focuses on building and optimizing data pipelines, warehousing solutions, and cloud data architectures on Microsoft Azure.

The ideal candidate has 6 to 10 years of hands-on experience with Azure data services, ADF, Databricks, PySpark, and SQL, with strong leadership and problem-solving skills to guide complex data initiatives.

Qualifications

• 4+ years of experience in Data Engineering / Data Warehousing.
• Strong hands-on experience with Microsoft Azure Data Services.
• Experience with Azure Data Factory (ADF) and data pipeline development.
• Strong experience with Azure Databricks, PySpark, and SQL.
• Experience in designing and implementing ETL/ELT data pipelines.
• Strong understanding of Data Lake, Data Warehouse, and cloud data architecture.

Responsibilities

• Develop and optimize ETL/ELT pipelines on Azure data services.
• Design scalable data architectures including Data Lake and Data Warehouse.
• Implement data pipelines using ADF, Databricks, PySpark, and SQL.
• Lead data engineering initiatives and troubleshoot issues.
• Ensure performance tuning and data quality for enterprise data platforms.

Skills

Data Engineering

Data Warehousing

ADF

Azure Databricks

PySpark

SQL

ETL/ELT

Data Lake/Warehouse

Azure Synapse

Data integration

Performance tuning

Leadership

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

SQL

Job description

We are looking for highly experienced Azure Data Engineer

Experience: 6 to 10yrs

Work Location: Pune

• 4+years of experience in Data Engineering / Data Warehousing
• Strong hands-on experience with Microsoft Azure Data Services
• Expertise in Azure Data Factory (ADF) and data pipeline development
• Strong experience with Azure Databricks, PySpark, and SQL
• Experience in designing and implementing ETL/ELT data pipelines
• Strong understanding of Data Lake, Data Warehouse, and cloud data architecture
• Experience with Azure Synapse Analytics is preferred
• Good knowledge of data integration, transformation, optimization, and performance tuning
• Experience working with large-scale enterprise data platforms
• Strong problem-solving and technical leadership skills