Data Integration Engineer

Infovision Labs; Pune District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Infovision Labs in Pune, India seeks a Data Integration Engineer to lead robust data pipelines and enable seamless ERP/CRM integration using Databricks, Azure data services, and enterprise connectors.

You will bridge business needs with technology, collaborate with cross-functional teams, and drive data quality, security, and governance across cloud and on-prem platforms in a hybrid work setup.

Qualifications

• Experience with building data integration solutions for enterprise systems.
• Strong background in designing and implementing ETL/ELT pipelines.
• Ability to translate business requirements into scalable data architectures.

Responsibilities

• Collaborate with business and IT stakeholders to gather requirements and translate functional needs into scalable data integration solutions.
• Design and implement ETL/ELT pipelines for connecting enterprise systems (Salesforce, ERP, SAP) to cloud data platforms.
• Serve as a liaison between data engineering and functional teams to align on mapping, usage, and validation logic.
• Build and optimize Databricks pipelines using Python, SQL, Delta Lake, and Spark for ingestion, transformation, and enrichment.
• Ensure data models reflect business logic and ERP/CRM workflows, maintaining data quality and traceability.

Skills

Databricks

Azure Data Services

ETL/ELT pipelines

Data integration

Stakeholder collaboration

Tools

Fivetran

Azure Data Factory

Delta Live Tables

Unity Catalog

Delta Sharing

Job description

Hi,

Greetings from Infovision!

Thank you for your interest in exploring career opportunities with us.

Roles & Responsibilities

We are seeking a Data Integration Engineer with deep expertise in Databricks, Azure data services, and enterprise applications (ERP & CRM) such as Oracle ERP, SAP, and Salesforce. This hybrid role is ideal for someone who can bridge the gap between business and technology, driving data integration efforts while aligning closely with functional teams to understand business processes, data requirements, and enterprise system logic.

The successful candidate will lead the development of robust data pipelines, facilitate stakeholder collaboration, and ensure smooth integration across internal systems and third‑party platforms.

Key Responsibilities:

• Collaborate with business and IT stakeholders to gather requirements and translate functional needs into scalable data integration solutions.
• Design and implement ETL/ELT pipelines for connecting and transforming data between enterprise systems (Salesforce, Oracle ERP, SAP) and cloud data platforms.
• Serve as a liaison between data engineering teams and functional teams (finance, sales, operations) to align on data mapping, usage, and validation logic.
• Build and optimize Databricks pipelines using Python, SQL, Delta Lake, and Spark for ingestion, transformation, and enrichment.
• Ensure data models reflect business logic and ERP/CRM workflows, maintaining data quality, consistency, and traceability.
• Utilize tools like Fivetran, Azure Data Factory, and custom connectors to manage end‑to‑end integration processes.
• Manage CI/CD pipelines using Azure DevOps for reliable deployment of data workflows and infrastructure.
• Maintain documentation for functional mappings, data flows, technical specifications, and system interfaces.
• Work with architects and security teams to implement and monitor data security, governance, and access control policies.
• Contribute to ongoing optimization of system performance, ensuring responsiveness and scalability of data solutions.
• Provide guidance and mentorship to junior engineers and support user acceptance testing (UAT) from a functional and technical perspective.
• Participate in cross-functional project planning and act as a subject matter expert for data from ERP/CRM platforms.

Job Description

• Experience with Delta Live Tables, Unity Catalog, Delta Sharing, and Fivetran connectors.
• Background in working with business-facing stakeholders or cross-functional teams (e.g., finance, operations, sales).
• Knowledge of cloud data platforms (Azure, AWS, or GCP) and hybrid on‑prem/cloud architectures.
• Agile and DevOps knowledge to support fast iteration and reliable deployment.
• Excellent written and verbal communication skills, capable of presenting both to technical and non‑technical audiences.
• Ability to manage tasks across geographically distributed teams and complex enterprise environments.