Azure Databricks Engineer

Job Opening : Azure Databricks Engineer (7+ Years Experience) | Budget : ₹1 LPM | Remote / Hybrid

Interview Process : 3 Rounds

BGV : Mandatory

We are seeking a highly skilled Azure Databricks Engineer with 7+ years of experience to join our data engineering team. This role is ideal for professionals who have deep expertise in building scalable data pipelines, optimizing data processes, and working with Azure data ecosystem. If you are passionate about designing efficient data solutions and enabling data-driven decisions, we’d love to connect!

Key Responsibilities

• Data Integration & ETL / ELT Development
• Design, build, and maintain scalable ETL / ELT pipelines using Azure Databricks, Python, SQL / T-SQL, and Spark .
• Extract, clean, transform, and load data from diverse sources into Azure Data Lake and data warehouse environments.
• Ensure data accuracy, consistency, and reliability for analytics and reporting.
• Data Management & Storage
• Implement robust storage solutions using Azure Databricks & Azure Data Lake Storage (ADLS) .
• Architect secure and scalable data models aligned with business and performance requirements.
• Monitoring, Troubleshooting & Optimization
• Set up proactive monitoring and alerting systems for pipelines and data workflows.
• Troubleshoot and resolve production issues related to data processing.
• Perform performance tuning to enhance pipeline efficiency and reduce processing time and cost.
• Cross-functional Collaboration
• Collaborate closely with data scientists, analysts, and business stakeholders .
• Translate business requirements into reliable, high-quality technical solutions.
• Communicate effectively across technical and non-technical teams.

Required Skills & Qualifications

Preferred Skills

Why Join Us?

Interested candidates can apply via LinkedIn or share their CV at

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