Data Engineer
Barry-WehmillerAbout the role
About Us:
BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. Rooted in our distinct culture of Truly Human Leadership, we cultivate the leaders who will define tomorrow and partner with our clients in the food & beverage, life sciences, industrial, and advanced technology industries to build the future of manufacturing and technology.
Job Description:
Who You’ll Work With
You will join one of our 45 offices in the US, be part of a committed team of over 1500 professionals, and work in teams and directly with our clients doing work that is shaping the world around us. You will be welcomed into a rapidly growing business and team and empowered to make an impact. You will be valued, cared for, and challenged on your path to becoming a world-class professional consultant and surrounded by leaders who are committed to creating an environment that enables you to realize your own success and fulfillment.
When you join Design Group as a Data Engineer, you are joining a team that will challenge you and position you for growth. In this role, you will work with a team of industry experts to help the world’s leading companies solve their most difficult problems. You will partner with seasoned leaders, technical specialists, and subject matter experts to deliver the highest quality solutions to our clients with consistency and accuracy.
What You’ll Do
Design, develop, and maintain cloud data infrastructure leveraging technologies like Azure SQL Database, Azure Data Lakes, and Azure Synapse Analytics, and DuckDB to enable advanced analytics (AWS experience is acceptable)
Build scalable cloud data solutions and pipelines for big data sources and large datasets using services like Azure Synapse Spark Pools, Azure Data Pipelines, Azure Data Lakes, Spark Notebooks, and DBT
Create optimized data models, efficient ETL/ELT logic, transformations, and metadata to structure and relate data for business insights.
Automate and schedule regular data integrations from transactional systems, on-prem data warehouses, enterprise databases and SaaS applications into high performance cloud data platforms.
Implement data quality checks, validation processes, error handling, partitioning, security, and resilience capabilities into data solutions based on requirements.
Support migration initiatives to move on-premises data and BI systems into cloud data lakehouses, data lakes and other cloud analytics services.
What You’ll Bring
0-2 years’ experience as a data engineer, ETL developer, or similar role (internships experience included).
Experience with cloud data technologies (Azure preferred) such as Azure Synapse Analytics and Spark Pools.
Strong expertise
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