Company
With around 480 locations in over 40 countries, thyssenkrupp Materials Services is the biggest materials distributor and service provider in the western world. The broad service spectrum offered by the materials experts enables customers to focus on their individual core business. The area of Materials Services spans two strategic areas: global materials distribution as one-stop-shop - from steel and stainless steel, tubes and pipes, nonferrous metals and specialty materials to plastics and raw materials - and tailored services in the areas of materials management and supply chain management. An extensive omnichannel architecture offers 250,000 customers worldwide cross-channel, round-the-clock access to more than 150,000 products and services. A highly efficient logistics system ensures that all requested services are smoothly integrated into customer production processes "just-in-time" or "just-in-sequence".
thyssenkrupp Materials NA is a subsidiary of the internationally operating thyssenkrupp Group. Headquartered in Southfield, Michigan, thyssenkrupp Materials NA is a leading provider of production materials and integrated service solutions with almost 2,900 employees and more than 95 locations in North America. With annual sales of $2.9 billion, the company is focused on value-added processing and distribution of a full line of aluminum, stainless, copper, brass, specialty metals, steel, and plastics products. Supply chain management, transportation and logistics, and production support outsourcing solutions are among the many services provided to customers. Business units include Copper and Brass Sales, Engineered Plastics, Ken-Mac Metals, OnlineMetals, thyssenkrupp Steel Services, thyssenkrupp Supply Chain Services, and thyssenkrupp Materials de Mexico.
Your responsibilities
Job Summary
The Azure Data Engineer will be responsible for configuration, setup, data governance, data quality, maintenance of data infrastructure; and design process and standards to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data, aligning with business needs and data-driven decisions at ThyssenKrupp Materials NA, Inc along with designing, developing, and maintaining scalable data pipelines and solutions on Microsoft Azure supporting data needs, business intelligence and analytics initiatives.Job Description
Key Accountabilities:
Data Architecture & Pipeline Development (35%)
Design and implement robust, scalable, and secure data pipelines using Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
Develop ETL/ELT processes to ingest data from multiple sources into Azure data storage systems (Data Lake, SQL DB, Synapse).
Define and implement data models, partitioning strategies, and performance optimization for large-scale datasets.
Design and propose technical solutions, develop and enhance SQL stored procedures, perform complex transformations using PySpark and maintain notebooks.
Design criteria and test cases for testing; perform unit and end-to-end tests, data validations, and document results.
Define and govern design standards, tools, best practices, and related development for enterprise data models.
Data Integration & Management (25%)
Connect and integrate data from on-premises and cloud-based sources (e.g., SAP, SQL Server, REST APIs, IoT).
Maintain and manage Azure Data Lake Storage Gen2, Azure SQL, and Delta Lake environments.
Handle data transformation and enrichment using Spark, Python, SQL, or Data Flows.
Review the solution requirements, support architecture design to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems.
Develop and maintain platform roadmaps for cloud-based data driven products supporting Applications & Analytics solutions.
Ensure data lineage, cataloging, and metadata management using Azure Purview.
Create data profiling, data cleansing and data migration strategies and plans.
Advise stakeholders and translate business requirements into designs for secure, scalable and reliable data solutions.
Develop and maintain architectural documentation, including diagrams, specifications, and standards.
Deliver actionable solutions based on data needs.
Participate in the design and development of future state architecture for Data and Analytics platforms.
Data Governance, Security & Quality (15%)
Implement data security policies including encryption, access controls, and masking (using Azure RBAC, Key Vault, and Private Endpoints).
Monitor and improve data quality, consistency, and accuracy using tools like Azure Data Quality Services or custom validations.
Manage user access to cloud resources deployed for Data and Analytics like ADLS, Azure Synapse, Azure Machine Learning and Azure Data Factory.
Support compliance and governance practices in alignment with enterprise data standards.
Ensure reliability, integrity, security and compliance of data assets across workspaces of all business fields and group companies.
Collaboration & Stakeholder Support (15%)
Work closely with data scientists, analysts, business stakeholders, and application teams to understand requirements and deliver fit-for-purpose data solutions.
Provide technical support and guidance on data-related issues.
Assist in Agile/Scrum ceremonies, backlog grooming, and sprint planning.
Collaborate... For full info follow application link.
thyssenkrupp Materials NA Inc is an equal opportunity employer. Applicants will receive consideration for employment without regard to age, sex, race, color, religion, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law.
Applicants with disabilities who require reasonable accommodation in connection with the application process are encouraged to contact us at [email protected]
