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Role reports to：
Senior Manager - Forecasting & Analytics位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
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Job Overview
We are looking for a Analytics Engineer with 4+ years of experience to help build and optimize our next-generation data platform using Microsoft Fabric. You will be responsible for designing scalable data pipelines, managing Lakehouse/Warehouses, and ensuring our data architecture supports a "Plug-and-Play" model for downstream business projects. The ideal candidate is a hands-on engineer who can translate complex data requirements into efficient, governed, and reusable data assets.
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Key Responsibilities
1. Fabric Ecosystem Engineering
· End-to-End Pipeline Development: Design and implement data ingestion and transformation workflows using Fabric Data Factory (Pipelines & Dataflows Gen2).
· Lakehouse & Warehouse Management: Architect and maintain OneLake storage structures, including Lakehouse (Delta Parquet) and Data Warehouse environments, to ensure a single source of truth.
· KPI Hub Integration: Contribute to the development of the centralized KPI Hub by building reusable datasets that reduce data redundancy across the enterprise.
2. Data Modeling & Transformation
· Advanced Spark/Python: Utilize Fabric Notebooks and PySpark for complex data engineering tasks, optimization, and large-scale processing.
· Semantic Layer Design: Build and optimize Power BI Semantic Models (Direct Lake mode) to provide high-performance reporting capabilities without data duplication.
· Data Quality & Governance: Implement automated data validation checks and metadata management to ensure compliance with GxP, SOX, and PII standards.
3. Automation & Platform Operations
· Fabric CI/CD: Implement version control and deployment automation for Fabric items using Git integration and deployment pipelines.
· Cost & Performance Optimization: Monitor capacity utilization and optimize queries/storage to ensure the platform remains cost-efficient.
· Technical Documentation: Create detailed data lineage maps, schema definitions, and deployment runbooks to support team collaboration.
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Required Qualifications
· Experience: 4+ years of total experience in Data Engineering, with at least 1 year of hands-on experience in Microsoft Fabric or deep expertise in the Azure Data Stack (Lakeshouse, Data Factory, Databricks).
· Technical Proficiency:
o Strong SQL and PySpark skills for data manipulation.
o Hands-on experience with Delta Lake and Parquet formats.
o Experience with Power BI and DAX is highly preferred.
· Cloud Knowledge: Firm understanding of Azure networking, security (Managed Identities, Service Principals), and Entra ID (Azure AD) integration.
· Problem Solving: Ability to work in a fast-paced environment and deliver scalable solutions that align with a broader Solution Architecture.
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Desired Qualifications
· Certification: DP-600 (Microsoft Fabric Analytics Engineer Associate) is a significant plus.
· Architectural Mindset: Familiarity with broader solution architecture principles is a strong plus.
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