Sr. Fabric Data Engineer
Listed on 2026-06-04
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Software Development
Data Engineer
Technical Skills 2
Technology|Microsoft Technologies|Microsoft Fabric
OverviewThe Infosys Retail, Consumer Goods, and Logistics unit stands as a globally respected partner of choice, dedicated to helping clients achieve their business goals through cutting‑edge technology and seamless services. Our unit offers a dynamic forum where projects and teams can effectively learn, adopt, and excel in all technologies. We foster a vibrant community that leverages shared skills and experiences to deliver high‑quality, value‑enhanced solutions.
Join us and become part of a team that drives innovation, operational efficiency, and sustainable growth in the retail, consumer goods, and logistics sector. Together, we can shape the future of these industries and achieve remarkable success.
- Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
- Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
- Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
- Conduct code reviews, do changes to the codebase and maintain code repositories
- Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
- Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
- Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
- Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
- A collaborative spirit and excellent communication skills.
- The ability to handle end to end SDLC phases from requirement gathering to implementation.
- A knack for translating complex requirements into actionable development tasks.
- A passion for design and hands‑on coding experience
- A proactive approach to testing, troubleshooting, and refining our applications.
- The ability to work with cross‑functional teams and do software integration.
- Experience in Data Engineering or Analytics Engineering roles.
- Strong expertise in analytical data modelling.
- Hands‑on experience with Microsoft Fabric or Azure analytics services.
- Strong SQL skills for analytical workloads.
- Experience with Spark / PySpark.
- Understanding of how data models support Power BI semantic models.
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- This position may require relocation and/or travel to work/project location.
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
- Work with Microsoft Fabric components including One Lake, Lakehouse, Warehouse, Data Engineering, and Data Factory.
- Implement shortcuts, partitioning strategies, and incremental processing.
- Support CI/CD practices for data pipelines and analytics artifacts.
- Design and implement robust data pipelines using Microsoft Fabric Data Factory, Dataflows Gen2, and Notebooks.
- Build ELT pipelines for Lakehouse and Warehouse workloads.
- Design and maintain analytical data models optimized for reporting and analytics.
- Apply dimensional modelling techniques (star/snowflake schemas).
- Implement fact tables, conformed dimensions, surrogate keys, and slowly changing dimensions (SCDs).
- Prepare analytics‑ready datasets aligned to Power BI semantic models.
- Collaborate with Power BI Engineers to ensure DAX‑friendly and performant models.
- Optimize data models for performance, scalability, and cost efficiency.
- Implement data quality checks, validations, and monitoring.
- Support governance practices including metadata, lineage, and documentation.
Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits:
- Long‑term/Short‑term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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