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Data Integration Engineer

2 weeks ago

Noida, Uttar Pradesh, India Crenovent Full time US$ 1,00,000 - US$ 1,50,000 per year

Job Description – Senior Data Integration Engineer (Azure Fabric + CRM Integrations)

Location:
Noida

Employment Type:
Full-time

About Crenovent Technologies

Crenovent is building
RevAi Pro
, an enterprise-grade
Revenue Operations SaaS platform
that integrates CRM, billing, contract, and marketing systems with AI agents and Generative AI search. Our vision is to redefine RevOps with AI-driven automation, real-time intelligence, and industry-specific workflows.

We are now hiring a
Senior Data Integration Engineer
to lead the integration of
CRM platforms (Salesforce, Microsoft Dynamics, HubSpot)
into
Azure Fabric
and enable secure, multi-tenant ingestion pipelines for RevAi Pro.

Role Overview

You will be responsible for designing, building, and scaling data pipelines that bring CRM data into
Azure Fabric (OneLake, Data Factory, Synapse-style pipelines)
and transform it into RevAi Pro's
standardized schema (50+ core fields, industry-specific mappings)
.

This is a
hands-on, architecture + build role
where you will work closely with RevOps SMEs, product engineers, and AI teams to ensure seamless data availability, governance, and performance across multi-tenant environments.

Key Responsibilities

  1. Data Integration & Pipelines

  2. Design and implement
    data ingestion pipelines
    from Salesforce, Dynamics 365, and HubSpot into Azure Fabric.

  3. Build
    ETL/ELT workflows
    using Azure Data Factory, Fabric pipelines, and Python/SQL.

  4. Ensure
    real-time and batch sync
    options for CRM objects (Leads, Accounts, Opportunities, Forecasts, Contracts).

  5. Schema & Mapping

  6. Map CRM fields to RevAi Pro's
    standardized schema (50+ fields across industries)
    .

  7. Maintain schema consistency across SaaS, Banking, Insurance, and E-commerce use cases.

  8. Implement data transformation, validation, and enrichment logic.

  9. Data Governance & Security

  10. Implement
    multi-tenant isolation
    policies in Fabric (Purview, RBAC, field-level masking).

  11. Ensure
    PII compliance, GDPR, SOC2 readiness
    .

  12. Build audit logs, lineage tracking, and monitoring dashboards.

  13. Performance & Reliability

  14. Optimize pipeline performance (latency, refresh frequency, cost efficiency).

  15. Implement
    autoscaling, retry logic, error handling
    in pipelines.

  16. Work with DevOps to set up CI/CD for Fabric integrations.

  17. Collaboration

  18. Work with
    RevOps SMEs
    to validate business logic for CRM fields.

  19. Partner with AI/ML engineers to expose clean data to agents and GenAI models.
  20. Collaborate with frontend/backend developers to provide APIs for RevAi Pro modules.

Required Skills & Experience

  • 3+ years
    in Data Engineering / Integration roles.
  • Strong expertise in
    Microsoft Azure Fabric
    , including:
  • OneLake
    ,
    Data Factory
    ,
    Synapse pipelines
    ,
    Power Query
    .
  • Hands-on experience with
    CRM APIs & data models
    : Salesforce, Dynamics 365, HubSpot.
  • Strong SQL and Python for data transformations.
  • Experience with
    ETL/ELT workflows
    , schema mapping, and multi-tenant SaaS data handling.
  • Knowledge of
    data governance tools (Azure Purview, RBAC, PII controls)
    .
  • Strong grasp of
    cloud security & compliance (GDPR, SOC2, HIPAA optional)
    .

Preferred (Nice to Have)

  • Prior experience building integrations for
    Revenue Operations, Sales, or CRM platforms
    .
  • Knowledge of
    middleware
    (MuleSoft, Boomi, Workato, Azure Logic Apps).
  • Familiarity with
    AI/ML data pipelines
    .
  • Experience with
    multi-cloud integrations (AWS, GCP)
    .
  • Understanding of
    business RevOps metrics
    (pipeline, forecast, quota, comp plans).

Soft Skills

  • Strong ownership and problem-solving ability.
  • Ability to translate business needs (RevOps fields) into technical data pipelines.
  • Collaborative mindset with cross-functional teams.
  • Comfortable working in a fast-paced
    startup environment
    .