Lead Data Engineer (Azure Databricks)

We are looking for a Lead Azure Databricks Engineer

Locations: #Hyderabad |#Bangalore | #Chennai | #Pune | #Nagpur

Experience: 7+ Years

Employment Type: Full-time | Hybrid (3 days work from office)

Interview Mode: Virtual followed by mandatory in-person

Notice Period: Immediate- 30 Days

Job Title:Azure Databricks Engineer (Senior/Lead/Architect)

Job Description:

We are looking for a skilled Data Engineer with strong expertise in Azure Databricks, PySpark, SQL, and Python to join our team. The ideal candidate will design, build, and optimize scalable data pipelines and support analytics initiatives on the Azure platform.

Responsibilities:

• Design and maintain ETL/ELT pipelines using Azure Databricks
• Write efficient PySpark and Python code for large-scale data processing
• Develop and optimize complex SQL queries for data transformation and reporting
• Work with Delta Lake, Azure Data Lake Storage (ADLS), and Azure Data Factory
• Monitor and troubleshoot pipeline performance
• Collaborate with data analysts and business teams to deliver reliable datasets

Requirements:

• 6+ years of experience in data engineering
• Strong hands-on skills in Azure Databricks, PySpark, SQL, and Python
• Understanding of data pipeline design, ETL/ELT concepts, and data warehousing
• Familiarity with Azure ecosystem tools is a plus
• Good problem-solving and communication skills

Preferred Certifications

Microsoft Certified: Azure Data Engineer Associate (DP-203)

Databricks Certified Data Engineer Professional

Microsoft Certified: Azure Solutions Architect Expert