Senior Data Engineer

About the Role We are seeking a highly motivated and technically strong Senior Data Engineer to support enterprise-scale data migration, data engineering, and data transformation initiatives for our next-generation Salesforce-powered Conversational Agentic ITSM Platform . This role is ideal for professionals who enjoy solving complex data challenges, building scalable data pipelines, and driving successful migration programs.

You will work closely with Salesforce Leads, Architects, Integration Developers, Business Analysts, and Quality Analysts to ensure accurate, secure, and high-quality movement of data from legacy platforms into Salesforce and Enterprise Service Management solutions. You will play a critical role in enabling Agentforce, AI-driven automation, analytics, CMDB, IT Asset Management, and Enterprise Service Management capabilities through robust data engineering practices.

Key Responsibilities Data Engineering & Migration Design, develop, and support data migration solutions for Salesforce transformation programs. Build and maintain ETL/ELT pipelines supporting migration, integration, and data synchronization initiatives. Perform data extraction, transformation, cleansing, enrichment, and validation activities. Develop reusable migration frameworks, reconciliation processes, and automation utilities.

Support migration planning, mock migrations, cutover activities, and production deployment activities. Troubleshoot and resolve data migration and quality issues. Salesforce & ITSM Data Enablement Support migration and transformation of: Incident Records Service Requests Change Records Problem Records Knowledge Articles CMDB Data IT Asset Management Data User and Organizational Data Service Catalog Data Ensure alignment between source systems and Salesforce data structures.

Support business reporting, analytics, automation, and service management processes through high-quality data delivery. Data Quality & Governance Perform data profiling, cleansing, validation, and reconciliation activities. Support implementation of data governance and quality frameworks. Define and monitor data quality metrics and migration success criteria. Ensure compliance with security, privacy, and regulatory requirements.

Support root cause analysis and issue resolution activities. Collaboration & Delivery Work closely with Lead Data Engineers, Architects, Salesforce Developers, Integration Teams, and Business Analysts. Support solution estimation, sprint planning, and Agile delivery processes. Participate in data design reviews and architecture discussions. Contribute to project documentation, migration runbooks, and operational procedures.

AI & Innovation Support data foundations for Agentforce, Data Cloud, AI-powered service experiences, and intelligent automation initiatives. Contribute to automation opportunities across migration and validation processes. Stay current with emerging data engineering technologies and best practices. Required Qualifications Must Have 5–7 years of overall IT experience. Minimum 3+ years of experience in Data Engineering or Data Migration projects.

Experience supporting Salesforce implementations or enterprise transformation programs. Strong understanding of data migration, ETL/ELT processes, and data quality practices. Experience working with large datasets and enterprise data environments. Strong analytical and problem-solving skills. Experience working in Agile and Scrum-based delivery environments. Technical Expertise SQL Python ETL/ELT Frameworks Data Modeling Data Warehousing Concepts Data Quality & Validation Data Mapping & Transformation Azure Data Factory Databricks Snowflake Informatica Talend SSIS Salesforce Knowledge Working knowledge of: Salesforce Data Model Salesforce Service Cloud Salesforce Experience Cloud Salesforce Reporting & Analytics Salesforce Data Migration Approaches Agentforce Fundamentals Salesforce ITSM Solutions Preferred Qualifications Experience supporting Enterprise Service Management (ESM) or ITSM implementations.

Exposure to CMDB and IT Asset Management data migration initiatives. Experience working with cloud-based data platforms. Familiarity with Data Governance and Master Data Management concepts. Experience supporting Digital Transformation programs. Certifications Salesforce Data Cloud Certification (Preferred) Azure Data Engineer Associate Databricks Data Engineer Certification Snowflake Certification Informatica Certification Added Advantage Experience with Agentforce or AI-powered service platforms.

Exposure to Data Cloud implementations. Knowledge of Enterprise Service Management and ITIL frameworks. Experience supporting enterprise analytics and reporting initiatives. What We Are Looking For We are seeking professionals who: Enjoy solving complex data migration and transformation challenges. Have strong technical and analytical capabilities. Take ownership of data quality and delivery outcomes. Collaborate effectively with technical and business teams.

Are passionate about Salesforce, Data Engineering, AI, and Enterprise Service Management. Thrive in fast-paced environments focused on innovation and continuous improvement. Why Join Us? Work on strategic Salesforce-powered Conversational Agentic ITSM and Enterprise Service Management initiatives. Gain exposure to Agentforce, Data Cloud, AI, Databricks, Snowflake, and enterprise-scale data platforms. Collaborate with experienced architects, engineers, and transformation leaders.

Build expertise in data migration, governance, analytics, and enterprise data engineering. Accelerate your technical growth through hands-on learning and certification opportunities. Join a rapidly growing organization that values innovation, customer success, and engineering excellence. Enjoy a flexible hybrid work model across Kochi, Bangalore, and Hyderabad. Join Us If you are a passionate Senior Data Engineer who enjoys building scalable data solutions, solving migration challenges, and enabling enterprise transformation through reliable data foundations, we would love to hear from you.

Join us in building the future of AI-powered Enterprise Service Management and Conversational Agentic Platforms , helping organizations unlock the value of trusted and connected data.