Solutions Architect (Databricks)

We are looking for a Solutions Architect (Databricks)

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

Experience: 10+ Years

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

Interview Mode: Virtual followed by mandatory in-person

Notice Period: Immediate- 15 Days

👇 Apply now or Tag someone who'd be a great fit!

https://forms.office.com/r/UdVXYXN9h8

Job Title: Solutions Architect (Databricks)

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:

• Minimum 10+ years of programming experience with (7+ years of Data Engineer; Azure Databricks, Python, PySpark, SQL).
• Completed Data Engineering Associate or Professional certification
• Minimum 6-8+ projects delivered with hands-on experience in development on Databricks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one
• Deep experience with distributed computing with Spark with knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Current knowledge across the breadth of Databricks product and platform features
• Familiarity with optimizations for performance and scalability

Preferred Certifications

Databricks Certified Data Engineer Associate or Professional