What are the responsibilities and job description for the Enterprise Data Solutions Specialist position at Ensign-Bickford Industries, (EBI)?
Data Engineering at EBI
As a Data Engineer at Ensign-Bickford Industries, Inc., you will play a crucial role in shaping the company's data-driven culture. You will be responsible for designing, developing, and maintaining robust data pipelines, business workflows, and custom database event processes. This is an exciting opportunity to work with a global company that values innovation, efficiency, and collaboration.
The ideal candidate will have a strong background in computer science or a related field, with a minimum of 5 years of experience as a Data Engineer or in a similar role. Extensive experience with relational database management systems, including MSSQL, Oracle, and Azure SQL Database, is also required. Additionally, knowledge of ETL development lifecycle principles, data pipelines, and data transformation methods is essential for success in this role.
Key Responsibilities
As a Data Engineer at Ensign-Bickford Industries, Inc., you will play a crucial role in shaping the company's data-driven culture. You will be responsible for designing, developing, and maintaining robust data pipelines, business workflows, and custom database event processes. This is an exciting opportunity to work with a global company that values innovation, efficiency, and collaboration.
The ideal candidate will have a strong background in computer science or a related field, with a minimum of 5 years of experience as a Data Engineer or in a similar role. Extensive experience with relational database management systems, including MSSQL, Oracle, and Azure SQL Database, is also required. Additionally, knowledge of ETL development lifecycle principles, data pipelines, and data transformation methods is essential for success in this role.
Key Responsibilities
- Partner with business stakeholders and IT Teams to gather technical requirements, including data mappings, transformations, and data flows.
- Design and develop efficient ETL pipelines for data collection, transformation, and storage from diverse sources (MSSQL, Oracle, ERP, LIMS, MES).
- Maintain and update comprehensive documentation on data flow, lineage, and dependencies.
- Implement automated validation, monitoring, and troubleshooting processes to ensure data quality, consistency, and performance.
