Data Engineer / BI Developer (part-time) at Globaldev Group

, , Armenia -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, BI Development, Azure Cloud Platform, SQL, Azure Data Factory, Power BI, ETL Processes, Data Warehousing, DAX, Data Quality, Problem-Solving, Communication, Collaboration, Customer Service, Database Management, Reporting

Industry

IT Services and IT Consulting

Description

QMD provides a full range of products and services to help OEMs bring medical devices to market. Specializing in silicone and other elastomerics, they manufacture a broad array of high-performance single-use devices as well as precision components and subassemblies. The QMD's end-to-end services include engineering & development, regulatory affairs, quality assurance, and supply chain support. Their global team partners with OEMs to provide tailored solutions to meet your needs. Throughout the decades, QMD has grown significantly and now serves global medical device customers from manufacturing sites across the U.S., Europe, the Middle East, and India. The project is to build a new BI solution that will pull data from the customer's databases (ERP, CRM solutions) and build a data warehouse. On top of the DataWarehouse, a set of reports, dashboards and ad hock analysis will support business users to understand how business is performing. Requirements 4-6 years of experience working on data-related projects. Proven hands-on experience with the Azure Cloud Platform. Strong proficiency in SQL (preferably SQL Server). Solid experience with Azure Data Factory (pipeline development, scheduling, debugging, failure recovery, and QA). Experience with Power BI (report creation, DAX, bookmarks, Power BI Service and Desktop, Power BI Apps, permissions setup). Strong analytical and problem-solving skills. Excellent communication skills and a collaborative attitude. Responsibilities Design, build, and maintain data pipelines using Azure Data Factory. Develop, optimize, and troubleshoot complex ETL processes. Manage and optimize SQL Server databases (using tools like DBeaver). Build, deploy, and maintain Power BI reports and dashboards, including DAX calculations, bookmarks, and permissions. Work across production and test environments, ensuring data quality and reliability. Collaborate with cross-functional teams to gather business requirements and translate them into technical data solutions. Provide excellent support and maintain a customer service attitude toward internal and external stakeholders. Benefits Direct cooperation with the already successful, long-term, and growing project. Flexible work arrangements. Collaborative and supportive team culture. Truly competitive salary. Help and support from our caring HR team.

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Responsibilities

Design, build, and maintain data pipelines using Azure Data Factory while developing and optimizing complex ETL processes. Collaborate with cross-functional teams to gather business requirements and translate them into technical data solutions.