Position: Data Integration Engineer – Databricks
Experience: 8+ Years
Location: Bangalore / Pune

Interview Process: HR Discussion – F2F Mandatory
Job Summary
We are looking for an experienced Data Integration Engineer with solid expertise in Databricks, Azure Data Services, Spark, Python, SQL, Delta Lake, and enterprise application integrations . The ideal candidate should have experience working with business and IT stakeholders and integrating data from enterprise platforms such as Salesforce, SAP, and Oracle ERP .
Key Responsibilities
- Collaborate with business and IT stakeholders to understand requirements and translate them into scalable data integration solutions.
- Design and develop ETL/ELT pipelines for enterprise applications and cloud data platforms.
- Build and optimize Databricks pipelines using Python, SQL, Spark, and Delta Lake.
- Work with Delta Live Tables (DLT), Unity Catalog, and Delta Sharing .
- Develop and manage integrations using Fivetran, Azure Data Factory, and custom connectors .
- Integrate data from platforms such as Salesforce, SAP, Oracle ERP ,



and other enterprise applications.
- Ensure data quality, validation, traceability, and consistency across integrated systems.
- Manage CI/CD pipelines using Azure DevOps for data workflows and infrastructure.
- Work with architecture and security teams on data governance, security, and access control .
- Maintain technical documentation, data mappings, data flows, and system interface specifications.
- Support UAT activities from both functional and technical perspectives.
- Collaborate with geographically distributed teams and provide technical guidance to junior engineers.
- Identify opportunities to improve pipeline performance, scalability, reliability, and operational efficiency.

Required Skills
- 8+ years of experience in Data Engineering, Data Integration, or Analytics.
- Strong hands-on experience with Databricks, Apache Spark, Python, SQL, and Delta Lake .
- Experience with Delta L

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