Senior Azure Databrick Engineer

WE ARE HIRING | Databricks Engineer | 5+ Years | Remote | Exavalu

Build. Transform. Scale. With Databricks.

About Exavalu

Exavalu is a global technology consulting and digital transformation organization specializing in Cloud, Data & Analytics, AI, Digital Engineering, and Enterprise Solutions. We partner with leading organizations across industries to deliver innovative, scalable, and business-driven technology solutions. With a strong focus on customer success and innovation, Exavalu offers professionals the opportunity to work on cutting-edge global projects and emerging technologies.

Website: https://www.exavalu.com
LinkedIn: https://www.linkedin.com/company/exavalu/

Position: Senior Azure Databricks Engineer

Number of Position: 3

Experience: 5 -10 Years

Employment Type: Full-Time

Notice Period: Can join within 15-30 days

Location: Hybrid (For Kolkata | Chennai | Hyderabad )

Remote (other location)

Interview Process: Technical L1 (Online) -> Leadership Round (Face to face Mandatory) --> Client Round (if required) --> HR Discussion (Final)

Role & Responsibilities

• Design, develop, and maintain scalable data platforms and pipelines on Microsoft Azure.
• Build robust ETL/ELT solutions using Azure Databricks, PySpark, and Azure Data Factory.
• Develop and optimize Lakehouse architectures leveraging Delta Lake and Databricks best practices.
• Work closely with business stakeholders, architects, and analytics teams to deliver enterprise-grade data solutions.
• Implement data quality, governance, monitoring, and performance optimization strategies.
• Participate in solution design, code reviews, deployment activities, and technical mentoring.
• Support real-time and batch data processing use cases across large-scale data environments.

Required Skills

• Strong hands-on experience with Azure Databricks and PySpark.
• Expertise in Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure SQL.
• Strong programming skills in Python and SQL.
• Experience designing and implementing Lakehouse and Data Warehouse solutions.
• Hands-on experience with Delta Lake, Spark optimization, partitioning, and performance tuning.
• Knowledge of CI/CD pipelines, Azure DevOps, Git, and deployment best practices.
• Experience handling large-scale structured and unstructured datasets.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Microsoft Azure Certification(s) preferred.
• Experience working in Agile/Scrum environments.
• Exposure to data governance, security, and modern analytics platforms.
• Experience leading technical discussions and mentoring junior team members.

How to Apply: Share your profile at [email protected]

Kindly share your updated resume along with the below details:

• Full Name:
• Current Organization:
• Current Location:
• Total Experience:
• Relevant Experience:
• Relevant Experience in Azure Databricks (in Years):
• Relevant Experience in SQL(in Years):
• Relevant Experience in PySpark (in Years):
• Relevant Experience in Azure Data Factory (ADF) (in Years):
• Relevant Experience in Synapse (in Years):
• Relevant Experience in Python(in Years):
• Current CTC:
• Expected CTC:
• Contact Number:
• Your Email:
• Official Notice Period:
• Last Working Day (if currently serving notice):
• Your LinkedIn Profile Link:
• In How many days you can join us:

Interested candidates are requested to share their updated resume and other details with the HR team.

HR Official Email: [email protected]
Contact Number: 9679134921

HR Connect: https://www.linkedin.com/in/robin-bhattacharjee-742881175/