Senior Data Integration Engineer

Job Role : Senior Data Integration Engineer

Exp Required : Atleast 6 Years of relevant work experience in Data Integration Engineer with (Salesforce, Databricks & MuleSoft)

Job Location : Chennai - Onsite (Initially remote for first few months, ready to work in Chennai location from Jan 2026)

Company Name : Indsafri

Notice Period : Immediate to 30 days

SHOULD HAVE GOOD COMMUNICATION SKILLS, PLEASE DO NOT APPLY IF YOU DO NOT HAVE GOOD COMMUNICATION SKILLS

NOTE :

• KINDLY DO NOT APPLY IF YOU HAVE LESS THAN 6 YEARS OF RELEVANT WORK EXP IN DATA INTEGRATION (SALESFORCE, DATABRICKS AND MULESOFT)- FRESHERS OR LESS THAN 3 YEARS OF EXP IN DATA INTEGRATION PLEASE DO NOT APPLY

Job Summary

We are seeking a highly experienced and strategic Senior Data Integration Engineer to architect, build, and manage the data pipelines that power our customer intelligence ecosystem. In this critical role, you will be the subject matter expert responsible for designing and implementing robust integrations between our core platforms : Salesforce Data Cloud, Databricks, and MuleSoft.

You will be responsible for creating a seamless flow of data, enabling advanced analytics, and empowering our business to activate real-time customer insights. The ideal candidate is a hands-on expert who can translate complex business requirements into scalable, secure, and high-performance technical solutions.

Key Responsibilities

Architect Integration Solutions : Lead the design and architecture of data integration patterns and end-to-end data flows between source systems, MuleSoft, Databricks, and Salesforce Data Cloud.

Develop MuleSoft APIs : Design, develop, and deploy reusable, API-led integration solutions using MuleSoft's Anypoint Platform to ingest data into the ecosystem and to syndicate data to downstream systems.

Build Advanced Data Pipelines in Databricks : Implement complex data transformation, cleansing, and enrichment pipelines using PySpark and SQL within the Databricks Lakehouse Platform. Prepare and model data for ingestion into Salesforce Data Cloud and for advanced analytics use cases.

Master Salesforce Data Cloud : Configure and manage Salesforce Data Cloud, including setting up data streams, performing data mapping and harmonization, defining identity resolution rules, and creating insightful calculated metrics.

Enable Data Activation : Collaborate with marketing, sales, and service teams to build and activate complex audience segments from Salesforce Data Cloud for use in personalization and campaign execution.

Ensure Governance and Performance : Implement data quality checks, error handling, and performance monitoring across all platforms. Ensure solutions adhere to data governance policies, security standards, and privacy regulations.

Mentorship and Best Practices : Act as a senior technical resource for the team, establishing best practices for integration and data engineering. Provide guidance and mentorship to junior team members.

Stakeholder Collaboration : Work closely with business analysts, data scientists, and platform owners to gather requirements and deliver solutions that provide tangible business value.

Required Skills & Experience

Atleast 6+ years of professional work experience in a data engineering, integration development, or data architecture role.

Proven hands-on experience with MuleSoft : Demonstrable expertise in designing, building, and managing APIs using the Anypoint Platform (API-led connectivity, DataWeave, connectors).

Strong proficiency in Databricks : Hands-on experience developing data pipelines using PySpark , SQL, Delta Lake, and job orchestration.

Demonstrable experience with Salesforce Data Cloud : In-depth knowledge of its data model, ingestion methods (Connectors, Ingestion API), identity resolution, segmentation, and activation capabilities.

Expert SQL & Python Skills : Ability to write complex, efficient SQL queries and Python code for data manipulation and automation.

Solid understanding of data modeling principles and experience designing and working with ETL / ELT processes.

Experience working with major cloud platforms ( AWS, Azure, or GCP ).

Experience with other Salesforce clouds (e.g., Marketing Cloud, Sales Cloud).

Knowledge of CI / CD and DevOps practices in a data context.

Familiarity with streaming data technologies (e.g., Kafka).

Certifications Required : (Mandatory)

Salesforce Data Cloud Consultant

MuleSoft Certified Developer / Architect

Databricks Certified Data Engineer Professional

Note :

This is a 4 months (till Mar 2026) renewable contract role (With a high possibility to extend from there onwards). Kindly don't apply if you are looking for a part-time, freelancing, and moonlighting jobs. Kindly apply only if you are 100% interested with the job opportunity of 4 months (till Mar 2026) renewable contract role

Interested candidates can share your updated resume to with below details

Name -

Mob No -

Email id -

Tot Exp -

Rel years of work exp as Senior Data Integration Engineer-

Rel years of work exp in Data Integration-

Rel years of work exp in Databricks-

Rel years of work exp in Salesforce development -

Rel years of work exp in Mulesoft integration -

Rel years of work exp in Salesforce data cloud -

Rel years of work exp in SQL (PostgreSQL, MySQL) -

Rel years of work exp in python development -

Rel years of work exp in data modelling principles-

Rel years of work exp in ETL / ELT processes -

Rel years of work exp in AWS / Azure / GCP -

Rel years of work exp in Mulesoft Anypoint Platform (API-led connectivity, DataWeave, connectors) -

Rel years of work exp in streaming data technologies (e.g., Kafka) -

Notice period (in days) -

Current location with complete physical address -

Willing to work for 4 months (till Mar 2026) renewable contract role (With a high possibility to extend from there onwards) Yes / No? -

CTC (in LPA)-

ECTC (in LPA)-

Ready to work for -

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