Data Engineer

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.

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

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.

• 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 lake houses , data lakes and other cloud analytics services.

• 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 with SQL and Python. Exposure to DAX and M preferred.

• Familiarity with Power
  
  BI or Tableau is a plus.

• Experience utilizing structured and unstructured data.

• Knowledge of data modeling, warehousing principles, ETL/ELT, and metadata standards.

• Understanding of CI/CD pipelines and Dev Ops processes is a plus.

• Ability to relate data opportunities to business needs.

• Strong communication , collaboration, curiosity, and perseverance skills.

• Analytical mindset with problem solving and troubleshooting skills.

• Bachelor’s degree in Computer Science , Analytics, Information Systems or similar field required .

• Builds infrastructures that collect and process data according to company needs

• Scales and builds out infrastructure to extract meaningful data

• Designs, develops and implements statistical models to carry out various aspects of classification and information extraction from data

• Leverages existing data infrastructure to fulfill all data-related requests; maintain data models

• Analyze data to spot anomalies, trends and correlate similar data sets.

• Tr…