Senior Azure Data Engineer

SP Staffing; Hyderabad, Chennai District, Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

SP Staffing is seeking an exceptionally experienced Azure Data Engineer for Pan India deployment. The role demands deep expertise across data engineering and cloud data platforms.

You will lead design and implementation of large-scale data pipelines using Azure Data Factory, Databricks, PySpark, and Synapse, with strong SQL skills and performance tuning. 15–20 years of hands-on experience is required.

Qualifications

• 15-20 years of experience in Data Engineering or Data Warehousing.
• Hands-on experience with Microsoft Azure Data Services.
• Expertise with Azure Data Factory (ADF) and data pipeline development.
• Proficiency with Azure Databricks, PySpark and SQL.
• Experience in designing ETL/ELT data pipelines.
• Strong understanding of Data Lake, Data Warehouse, and cloud data architecture.
• Azure Synapse Analytics experience preferred.
• Good knowledge of data integration, transformation, optimization, and performance tuning.

Skills

Data engineering

Azure Data Services

Azure Data Factory

Azure Databricks

PySpark

SQL

ETL pipelines

Data lake architecture

Data warehouse

Azure Synapse

Data integration

Performance tuning

Enterprise data platforms

Problem solving

Leadership

Job description

We are looking for highly experienced Azure Data Engineers

Experience: 15-20 Years
Work Location: Pan India

Key Requirements:

• 15-20 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