Senior Azure Databricks Engineer (ID: 3070)
Senior Azure Databricks Engineer (ID: 3070)
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8-10years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Design develop and maintain scalable and efficient ETL/ELT data pipelines using Azure Databricks and PySpark.
- Work extensively with Azure services such as Azure Data Factory (ADF) Azure Data Lake Storage (ADLS Gen2) Azure SQL Synapse Analytics and Key Vault.
- Implement and manage Delta Lake within a modern lakehouse architecture.
- Collaborate closely with data architects analysts and business stakeholders to understand and fulfill data requirements.
- Deploy data engineering solutions using CI/CD pipelines preferably via Azure DevOps.
- Support and enhance data governance practices and data modeling standards.
- 8 to 10 years of overall experience in data engineering and development.
- Strong hands-on expertise with Azure Databricks PySpark and Spark SQL.
- Proven experience in building and managing ETL pipelines and implementing Delta Lake.
- Proficient in SQL data modeling and understanding of data governance principles.
- Solid experience with Azure Data Factory ADLS Gen2 and other Azure data services.
- Exposure to CI/CD practices using Azure DevOps and optional knowledge of Terraform.
- Familiarity with Lakehouse architecture and Unity Catalog (added advantage).
- Experience with Power BI is a plus.
- Build scalable and performant data processing solutions.
- Work effectively in a collaborative Agile-driven team environment.
- Translate business requirements into robust technical implementations.
- Communicate and coordinate with cross-functional stakeholders and technical peers.
- Quickly adapt to new tools cloud platforms and evolving best practices in data engineering.
- An opportunity to work on enterprise-level cloud-native data engineering projects.
- A modern development ecosystem built on Azure Databricks and lakehouse architecture.
- A collaborative team environment where innovation and continuous improvement are encouraged.
- Exposure to cutting-edge technologies and tools within the Microsoft data ecosystem.
Let s Connect
Want to discuss this opportunity in more detail Feel free to reach out.
Recruiter: Hari Sankar R
Phone:; Extn : 132
Email:
LinkedIn: As a Senior Azure Databricks Engineer, you will: Design, develop, and maintain scalable and efficient ETL/ELT data pipelines using Azure Databricks and PySpark. Work extensively with Azure services such as Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure SQL, Synapse Analytics, and Key Vault. Implement and manage Delta Lake within a modern lakehouse architecture. Collaborate closely with data architects, analysts, and business stakeholders to understand and fulfill data requirements. Deploy data engineering solutions using CI/CD pipelines, preferably via Azure DevOps. Support and enhance data governance practices and data modeling standards. What You Bring to the Table: 8 to 10 years of overall experience in data engineering and development. Strong hands-on expertise with Azure Databricks, PySpark, and Spark SQL. Proven experience in building and managing ETL pipelines and implementing Delta Lake. Proficient in SQL, data modeling, and understanding of data governance principles. Solid experience with Azure Data Factory, ADLS Gen2, and other Azure data services. Exposure to CI/CD practices using Azure DevOps and optional knowledge of Terraform. Familiarity with Lakehouse architecture and Unity Catalog (added advantage). Experience with Power BI is a plus. You should possess the ability to: Build scalable and performant data processing solutions. Work effectively in a collaborative, Agile-driven team environment. Translate business requirements into robust technical implementations. Communicate and coordinate with cross-functional stakeholders and technical peers. Quickly adapt to new tools, cloud platforms, and evolving best practices in data engineering. What We Bring to the Table: An opportunity to work on enterprise-level, cloud-native data engineering projects. A modern development ecosystem built on Azure, Databricks, and lakehouse architecture. A collaborative team environment where innovation and continuous improvement are encouraged. Exposure to cutting-edge technologies and tools within the Microsoft data ecosystem. Let s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Hari Sankar R Phone: ; Extn : 132 Email: LinkedIn:
Employment Type
Full Time
