Sr. Fabric Data Engineer

Infosys•Atlanta, GA

22h

About The Position

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: * 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 Your contribution to the team: * 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. Additional Details: * Work with Microsoft Fabric components including OneLake, 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.

Requirements

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.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

Microsoft Fabric Analytics Engineer or Azure Data Engineer certification preferred.

Responsibilities

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
Work with Microsoft Fabric components including OneLake, 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.