We have an exciting opportunity for an Azure Databricks Developer to join our team at our Gurugram office. If you're looking to work on modern Azure data engineering technologies in a collaborative environment, we'd love to connect with you.. If you are interested, please share your updated resume, along with your current/expected CTC and notice period.
Work Mode: Complete Onsite (5 days)Position: Azure Databricks Developer
Summary
Seeking an experienced Azure Databricks Developer to design, develop, integrate, and support cloud-native data engineering solutions and enterprise applications using Microsoft Azure technologies. The role is responsible for analyzing business and technical requirements, designing scalable ETL/ELT solutions, migrating legacy Informatica PowerCenter workloads to Azure Databricks, and participating throughout the Software Development Life Cycle (SDLC), including requirements analysis, system design, software integration, testing, deployment, configuration management, and production support. The successful candidate will independently perform moderate to complex assignments, present technical solutions during formal design reviews, and deliver secure, scalable, and high-quality enterprise data solutions.
Key Responsibilities
- Analyze business, functional, and technical requirements and recommend effective application and data engineering solutions.
- Design, develop, and maintain cloud-native ETL/ELT pipelines using Azure Databricks, PySpark, Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage Gen2 (ADLS Gen2), Python, and SQL.
- Assess and migrate Informatica PowerCenter workflows, mappings, and ETL processes to Azure Databricks.
- Participate in all phases of the SDLC, including requirements analysis, conceptual design, system design, software integration, testing, deployment, implementation, maintenance, and lifecycle support.
- Design scalable batch, incremental, and Change Data Capture (CDC) data pipelines.
- Integrate Azure data platforms with SQL Server, Oracle, REST APIs, Power BI, and other enterprise applications.
- Optimize Spark jobs, ETL processes, and Azure workloads for performance, scalability, and reliability.
- Perform software integration, configuration management, release management, and deployment activities.
- Conduct unit, system, integration, and user acceptance testing; analyze software test results and recommend corrective actions.
- Present system designs, technical architecture, and implementation strategies during formal design and user review sessions.
- Implement CI/CD pipelines using Azure DevOps and Git.
- Implement Azure security best practices using Azure Key Vault, Microsoft Entra ID, RBAC, and managed identities.
- Develop technical documentation, architecture diagrams, operational procedures, and knowledge transfer materials.
- Provide production support, troubleshooting, application maintenance, monitoring, and lifecycle management for enterprise data platforms.
- Contribute to project deliverables, quality standards, and performance metrics while working on multiple moderate-to-complex assignments..
Required Skills
- Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
- Minimum 3 years of professional experience in Azure Data Engineering, Software Engineering, or Application Development.
- Experience implementing enterprise software solutions using structured SDLC methodologies.
- Strong expertise in Azure Databricks, PySpark, Spark SQL, Python, Azure Data Factory, Azure Synapse Analytics, ADLS Gen2, and Delta Lake.
- Experience migrating Informatica PowerCenter workloads to Azure Databricks.
- Strong SQL/T-SQL skills with experience integrating SQL Server, Oracle, REST APIs, and Power BI.
- Experience with Azure DevOps, Git, CI/CD, configuration management, and software integration.
- Experience performing requirements analysis, system design, software testing, deployment, and lifecycle support.
- Ability to provide solutions for moderate-complexity software problems and recommend corrective actions based on testing results.
- Experience presenting technical designs during formal design reviews.
- Strong analytical, troubleshooting, documentation, and communication skills.
Preferred Skills
- Microsoft Certified: Azure Data Engineer Associate (DP-203).
- Experience with Delta Lake, CDC, and Spark performance tuning.
- Experience supporting enterprise business applications such as finance, accounting, or office automation systems.
- Experience working in Agile/Scrum environments.
- Knowledge of enterprise architecture, cloud modernization, and Azure best practices.
Pay: ₹700,000.00 - ₹1,000,000.00 per year
Work Location: In person
