Microsoft Fabric - Lead

Job Description

Role Overview

As a Microsoft Fabric Developer / Data Engineer at Wipro Technologies, you will play a critical role in designing and implementing scalable, efficient, and robust data engineering solutions utilizing the latest Microsoft Fabric platform technologies. You will be entrusted with independently building end-to-end data pipelines, integrating diverse API data sources, and crafting sophisticated SQL-based transformations to support the Silver and Gold data warehouse layers. Your expertise will enable the creation of intuitive, business-ready semantic models that drive insightful analytics and reporting.

This position offers an exciting opportunity to innovate within the Data Analytics & AI sector, delivering quality data solutions that empower decision-making across the organization while contributing to the evolution of advanced data architectures. The ideal candidate will demonstrate a strong blend of technical skills, including Python programming, SQL development, and Microsoft Fabric platform knowledge, along with strong analytical capabilities to anticipate and solve complex data challenges.

By joining this role, you will become part of a dynamic team guided by a passion for execution excellence and client centricity, while fostering collaborative working and continuous learning agility.

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Key Responsibilities

• Design, develop, and maintain comprehensive ETL/ELT data pipelines within the Microsoft Fabric environment, ensuring seamless data ingestion, transformation, and delivery.
• Implement Python scripts and notebooks to extract, cleanse, validate, and transform data originating from diverse sources such as RESTful APIs, databases, and unstructured files.
• Architect and enforce data processing patterns adhering to medallion architecture principles, effectively managing Bronze, Silver, and Gold data layers to optimize data quality and accessibility.
• Author and optimize advanced SQL queries, stored procedures, and views that underpin Silver and Gold warehouse data transformations and support analytical workloads.
• Develop curated, business-friendly Gold layer datasets that cater to reporting, dashboarding, KPI calculation, and broader analytics use cases.
• Create and administer semantic models leveraging Microsoft Fabric and Power BI, incorporating complex relationships, calculated measures, hierarchies, and metadata to bolster user self-service analytics capabilities.
• Orchestrate and monitor data workflows through Fabric Pipelines with meticulous attention to scheduling, dependency management, error handling, and operational reliability.
• Implement data quality frameworks encompassing validation rules, logging mechanisms, exception handling, and reconciliation processes to maintain data accuracy and integrity.
• Collaborate closely with cross-functional teams including business analysts, data architects, and reporting specialists to align data solutions with business needs and strategic priorities.
• Maintain thorough documentation covering data flow diagrams, source-to-target mappings, transformation logic, pipeline designs, and semantic model metadata to ensure knowledge sharing and compliance.

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Required Skills and Experience

• Demonstrated hands-on expertise with Microsoft Fabric components including Lakehouses, Warehouses, Pipelines, Notebooks, and Semantic Models to deliver robust data solutions.
• Proficiency in Python programming tailored to ETL tasks, API integrations, complex data transformations, and automation workflows.
• Proven experience in consuming and processing data from RESTful APIs with a thorough understanding of authentication protocols, pagination methods, error handling tactics, and incremental data loading.
• Advanced skills in SQL development, proficient with complex joins, common table expressions (CTEs), window functions, aggregations, and query performance optimization.
• Experience in architecting and populating Silver and Gold data layers structured for advanced analytics and reporting requirements.
• Solid understanding of data warehousing concepts, dimensional modeling techniques including star schemas, fact and dimension tables, and structured reporting constructs.
• Expertise in designing semantic models that empower business users through Power BI or Microsoft Fabric self-service analytic tools.
• Strong capabilities in pipeline orchestration, scheduling, dependency resolution, monitoring systems, and proactive failure management.
• Ability to efficiently work with both structured and semi-structured data formats sourced from multiple heterogeneous systems.
• Outstanding analytical, problem-solving, troubleshooting skills combined with effective communication to engage stakeholders and team members.

Preferred Skills

• Experience working with Delta Lake technology, OneLake architecture, and PySpark/Spark for big data processing and analytics.
• Competency in Power BI report development and visualization techniques to complement data engineering efforts.
• Knowledge of continuous integration and continuous deployment (CI/CD) practices, Git version control, and deployment pipeline management for Microsoft Fabric artifacts.
• Familiarity with data governance frameworks encompassing security, access management, workspace role configurations, and data lineage tracking.
• Background in Agile or Scrum methodology to effectively contribute within iterative and collaborative project environments.

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Technical and Behavioral Competencies

• Client Centricity: Demonstrate an unwavering commitment to understanding and fulfilling client needs through innovative data solutions.
• Passion for Results: Maintain a strong drive to deliver measurable and impactful outcomes within stipulated timelines.
• Execution Excellence: Show meticulous attention to detail and accountability in the planning, development, and delivery of data projects.
• Collaborative Working: Foster teamwork and open communication channels across cross-disciplinary groups.
• Learning Agility: Embrace continuous learning to adapt swiftly to new technologies and evolving data ecosystems.
• Problem Solving & Decision Making: Apply critical thinking to analyze complex problems and select effective data-driven solutions.
• Effective Communication: Articulate technical concepts clearly to diverse stakeholders and facilitate knowledge transfer.

These competencies contribute to creating a thriving and inclusive workplace culture where innovation and professional growth are encouraged and supported.

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About Wipro Technologies

Wipro Technologies is a global leader in IT, consulting, and business process services. We are committed to empowering digital transformation for enterprises worldwide by harnessing cutting-edge technologies including AI, data analytics, cloud, and automation. Our culture is driven by an ethos of continuous reinvention and purpose-led innovation.

Within our Technology Services division, particularly the Decision Sciences practice, we foster a collaborative environment where diverse perspectives thrive and professional development is prioritized. Our teams are passionate about delivering excellence while embracing the challenges and opportunities brought on by the rapidly evolving digital landscape.

Joining Wipro means becoming part of an inclusive organization that values your unique contributions and supports your career growth. We believe in investing in our people, enabling them to design their own reinvention and shape the future of technology and analytics.

This role offers the opportunity to work alongside talented professionals while driving impactful data engineering initiatives that support business intelligence and innovation at scale.