Senior Data Engineer
Summary
Lead Azure Databricks Engineer designing, building, and optimizing scalable ETL/ELT data pipelines using Azure Databricks, PySpark, SQL, and Python on the Azure platform.
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 Joiners Only
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:
7+ years of experience in Azure Databricks Engineer
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