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    Job · 22452077

    Milestone Technologies logo

    Senior Data Engineer

    Milestone Technologies · Kochi · onsite · Posted 1d ago

    Undisclosed5–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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.



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    data extractionAutomationAgileData Engineerdata cloudAgentforceCMDBcustomer successAgile DeliveryAnalyticsData EngineeringcloudArchitectureazure data engineerAzure Data FactoryData GovernancecomplianceMicrosoft AzureArtificial Intelligence

    About Milestone Technologies

    Milestone Technologies logo

    Milestone Technologies

    IT Services & Consulting

    1001-5000

    employees

    1997

    29 years old

    Fremont, California

    United States

    About

    An IT services firm focusing on enhancing technology frameworks and enabling digital transformation for diverse industries like tech, media, and healthcare.

    Industries

    IT Services & Consulting

    Employee ratings

    103 reviews

    4.0/ 5

    Culture

    4.1

    Career growth

    3.4

    Work-life

    4.2

    Employees rate it well for

    Work Life Balance12Senior Management10Work Culture7Job Security6Salary5

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