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Data Engineer

, NJ, United States

About the Company:

Connecting clients to markets.

With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.

Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, The StoneX Group is made up of four segments that offer endless potential for progression and growth.

Business Segment Overview:

Empower individual investors – and yourself – in the world of retail through a range of different financial products rooted in innovation and market intelligence. From FX and CFDs to precious metals, master an exciting world of wealth management tools.

Technology Ecosystem:

Front-End: Power BI and SSAS

Back End: SQL Server and SSIS

Architect: DataWarehouse and Lakehouse

Cloud: Databricks with Azure

Responsibilities:

Participate in ad hoc request where SQL queries needs to be written to pull data and ensure data is accurate.

Develop SSRS/Power BI reports as part of the small enhancement’s requests.

Develop SSIS packages to import data as per the project requirements and follow architecture guidelines.

Investigate data issues and fix production bugs with ETL or Reports.

Working knowledge of SSAS cubes.

Define and document metrics that are exposed to internal stakeholders.

Follow deployment process and CI/CD to ensure the code is properly tested before deploying to production.

Work with QA/BA to understand the requirements and fix any bugs highlighted.

Work with stakeholders to get sign off on different deliverables related to data and/or reports and dashboards.

Qualifications:

3+ Years of Experience in the following.

SQL Server - TSQL

Microsoft BI Stack - (SSRS, SSIS)

Desired Skills:

Working in an Agile Scrum

Datawarehouse development

High-level understanding of SSAS (SQL Server Analysis Services)

Exposure to reporting tools (e.g. Power BI)

Finance / Forex Experience

What makes you stand out:

Attention to detail.

Ability to learn new tools.

Hard working individual.

Working environment:

Hybrid

Travel Requirements (if applicable)

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