Hi Team,
Greetings
Please find below the requirement for the Data Integration Engineer – Databricks position.
Position: Data Integration Engineer – Databricks
Experience: 8+ Years
Location: Bangalore / Pune
Employment Type: C2H – 6 Months
Interview Process: HR Discussion + F2F Mandatory
Job Summary
We are looking for an experienced Data Integration Engineer with robust hands-on expertise in Databricks, Azure Data Services, Apache Spark, Python, SQL, and Delta Lake.
The ideal candidate should have experience designing and developing scalable ETL/ELT and data integration pipelines, working with enterprise applications, and collaborating with business and IT stakeholders.
Key Responsibilities
Collaborate with business and IT stakeholders to understand requirements and develop scalable data integration solutions.
Design, develop, and maintain 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 enterprise platforms such as Salesforce, SAP, Oracle ERP, and similar systems.
Ensure data quality, validation, traceability, and consistency across integrated systems.
Manage CI/CD pipelines using Azure DevOps for data workflows and infrastructure.
Collaborate with architecture and security teams on data governance, security, and access control.
Maintain technical documentation, data mappings, data flows, and interface specifications.
Support UAT activities from both functional and technical perspectives.
Provide technical guidance to junior engineers and collaborate with geographically distributed teams.
Identify opportunities to improve pipeline performance, scalability, reliability, and operational efficiency.
Required Skills
8+ years of experience in Data Engineering, Data Integration, or Analytics.

📌 Integration Engineer (India)
🏢 Vysystems
📍 India