Senior BI Engineer

4 - 9 years

15 - 30 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

BI Engineer

Salesforce–Power BI integration

Core Responsibilities

  • Develop, optimize, and deploy interactive dashboards and self-service BI reports in

    Power BI.

  • Architect and maintain

    data models

    ,

    semantic layers

    , and

    calculated measures

     (DAX/MDX) that support consistent KPIs and metrics across departments.
  • Implement and manage secure, performant

    Power BI–Salesforce

    integrations

     using native connectors and authentication, enabling real-time and scheduled CRM insights.
  • Collaborate with business units to elicit data requirements, translate business logic into SQL/DAX, and deliver reusable datasets and visuals.
  • Work with data engineering teams to design efficient ETL pipelines and curate data sources in enterprise data platforms (e.g., Snowflake, Azure Synapse, Redshift).
  • Conduct A/B testing, usage analytics, and performance diagnostics to optimize dashboards for speed, usability, and value.
  • Champion best practices in BI development lifecycle, source control, documentation, and deployment (CI/CD pipelines for reports/datasets).
  • Participate in agile ceremonies and collaborate cross-functionally with product, sales, and digital transformation teams.

Required Qualifications

  • Bachelor’s degree in computer science, Information Systems, Data Engineering, or related technical field.
  • 3–5 years of experience in BI development, with hands-on expertise in

    Power BI

     and

    MicroStrategy

    .
  • Proven experience integrating

    Power BI with

    Salesforce

    , including:
    • Connecting to standard/custom objects and Salesforce reports
    • Managing API limits, incremental loads, and metadata-driven refresh logic
    • Enforcing user-level security through RLS and Salesforce permission mapping
  • Proficiency in SQL (T-SQL, PostgreSQL, or similar dialects), DAX, and data modeling (star/snowflake schemas).
  • Solid understanding of BI architectural patterns, including data lake/warehouse integrations and dimensional modeling.
  • Familiarity with enterprise metadata management, data lineage, and report governance frameworks.
  • Exposure to cloud platforms (Azure, AWS) and version control tools (Git, Azure DevOps).

Preferred Skills

  • Experience in banking, fintech, or regulated financial services environments.
  • Familiarity with Power BI Service workspace management, deployment pipelines, and Power BI REST API.
  • Experience with scripting and automation (PowerShell, Python) for BI operations.
  • Knowledge of MicroStrategy-specific features such as intelligent cubes, dossiers, and distribution services.

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