Offer summary

Qualifications:

Minimum 8 years of experience in data warehousing and business intelligence., Strong expertise in Microsoft Fabric and related Azure data tools., Proficiency in SQL, PySpark, and T-SQL for data processing., Knowledge of data modeling, ETL/ELT processes, and data integration patterns..

Key responsibilities:

Design, implement, and support data solutions using Microsoft Fabric components.

Develop and maintain data pipelines, data warehouses, and Power BI reports.

Collaborate with teams to ensure data governance and best practices.

Support the deployment of data architecture in a remote, long-term engagement.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Role: Senior MS Fabric Engineer

Location: Remote

Duration: Long term

Rates: DOE

Prefer USCGC (client is not sponsering for this opportunity)

Experience:

8+ years of handson experience in designing, implementing, and supporting data warehousing and business intelligence solutions, with a strong focus on Microsoft Fabric or similar tools within the Microsoft data stack (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks).

Strong proficiency with Microsoft Fabric components:

Data Engineering (Spark Notebooks, Spark Job Definitions)

Data Factory (Dataflows Gen2, Pipelines)

Data Warehouse SQL Analytics Endpoints

OneLake and Lakehouse architecture

Power BI integration and DAX

Solid understanding of data modeling (dimensional modeling, star schemas), ETLELT processes, and data integration patterns.

Proficiency in SQL, PySpark, andor TSQL.

Familiarity with KQL (Kusto Query Language) is a plus.

Experience with big data technologies like Spark.

Strong understanding of data and analytics concepts, including data governance, data warehousing, and structuredunstructured data.

Knowledge of software development best practices (e.g., code modularity, documentation, version control Git).