Fabric Developer
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Job Location:
Jersey, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
Responsibilities
Design build and optimize Microsoft Fabric based data solutions including lakehouses pipelines notebooks (Spark/PySpark) and semantic models.
Develop scalable data architectures aligned with modern lakehouse and medallion design patterns.
Lead end to end system of record migration initiatives ensuring accuracy completeness and performance.
Architect and implement ingestion frameworks integrating POS/transactional systems APIs and relational databases (Postgres preferred).
Develop data products for both internal analytics consumers and external partners/vendors.
Collaborate with engineering teams to define document and evolve solution designs and data models.
Act as a technical lead and educator guiding teams on best practices for Fabric Spark and modern data engineering.
Drive clarity in ambiguous situations by defining next steps technical direction and solution approaches independently.
Ensure high-quality development practices through code reviews documentation and adherence to engineering standards.
Partner with business stakeholders to translate requirements into scalable production-ready data solutions.
Work across cross functional teams (engineering analytics product) to ensure smooth delivery and ongoing operational stability.
Qualifications we seek in you!
Minimum Qualifications
Graduation: MBA/MCA
Preferred Skills:
Deep understanding of Microsoft Fabric ecosystem including lakehouses pipelines notebooks Power BI integration and semantic modeling.
Hands-on experience with PySpark/Spark notebooks in production environments.
Strong background in transaction-heavy domains such as retail automotive franchise or similar industries.
Experience ingesting data from APIs and relational databases (Postgres strongly preferred).
Prior experience designing data products for analytics reporting and external data delivery.
Ability to function as an architect technical lead and mentor within engineering teams.
Strong communication and stakeholder handling skills across engineering analytics and business groups.
Familiarity with modern data engineering practices: CI/CD version control orchestration and observability.
Experience working in cloud ecosystems (Azure preferred) and integrating Fabric with downstream applications.
Proven ability to operate independently handle ambiguity and drive technical direction.
Design build and optimize Microsoft Fabric based data solutions including lakehouses pipelines notebooks (Spark/PySpark) and semantic models.
Develop scalable data architectures aligned with modern lakehouse and medallion design patterns.
Lead end to end system of record migration initiatives ensuring accuracy completeness and performance.
Architect and implement ingestion frameworks integrating POS/transactional systems APIs and relational databases (Postgres preferred).
Develop data products for both internal analytics consumers and external partners/vendors.
Collaborate with engineering teams to define document and evolve solution designs and data models.
Act as a technical lead and educator guiding teams on best practices for Fabric Spark and modern data engineering.
Drive clarity in ambiguous situations by defining next steps technical direction and solution approaches independently.
Ensure high-quality development practices through code reviews documentation and adherence to engineering standards.
Partner with business stakeholders to translate requirements into scalable production-ready data solutions.
Work across cross functional teams (engineering analytics product) to ensure smooth delivery and ongoing operational stability.
Qualifications we seek in you!
Minimum Qualifications
Graduation: MBA/MCA
Preferred Skills:
Deep understanding of Microsoft Fabric ecosystem including lakehouses pipelines notebooks Power BI integration and semantic modeling.
Hands-on experience with PySpark/Spark notebooks in production environments.
Strong background in transaction-heavy domains such as retail automotive franchise or similar industries.
Experience ingesting data from APIs and relational databases (Postgres strongly preferred).
Prior experience designing data products for analytics reporting and external data delivery.
Ability to function as an architect technical lead and mentor within engineering teams.
Strong communication and stakeholder handling skills across engineering analytics and business groups.
Familiarity with modern data engineering practices: CI/CD version control orchestration and observability.
Experience working in cloud ecosystems (Azure preferred) and integrating Fabric with downstream applications.
Proven ability to operate independently handle ambiguity and drive technical direction.
