EDI Staffing
Overview:
Our client is looking for a detail-oriented developer who will design, implement, and maintain our enterprise data warehouse-ensuring data quality, efficiency, and accessibility across the organization. This is a hands-on, impactful role that connects IT, analytics, and business strategy.
Who you'll work for You'll join an established food manufacturing company known for its innovation, quality, and commitment to excellence. Our products are distributed nationally, and we take pride in combining tradition with forward-thinking technology to deliver great results.
What you'll do
Design, develop, and maintain data warehouse solutions to support business intelligence and analytics needs. Implement ETL processes to extract, transform, and load data from various sources into the data warehouse. Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical solutions. Optimize and tune data warehouse performance to ensure efficient data retrieval and processing. Develop and maintain documentation for data warehouse processes, architecture, and data models. Ensure data quality and integrity through validation, cleansing, and monitoring procedures. Troubleshoot and resolve data warehouse issues to ensure continuity and reliability. Stay current on emerging data technologies and best practices in business intelligence and data warehousing. What you bring
Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 5+ years of experience as a Data Warehouse Developer, Data Engineer, or in a similar technical data role. Strong knowledge of data warehousing concepts, ETL processes, and database management. Proficiency in SQL and experience with database technologies such as Oracle and Azure SQL Server. Experience with ETL tools such as Azure Data Factory. Familiarity with data modeling techniques and tools. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred:
Experience with Power BI and data visualization tools. Knowledge of Oracle data extract technologies such as BICC and BIP. Experience with Azure DevOps and Azure Data Factory.
Who you'll work for You'll join an established food manufacturing company known for its innovation, quality, and commitment to excellence. Our products are distributed nationally, and we take pride in combining tradition with forward-thinking technology to deliver great results.
What you'll do
Design, develop, and maintain data warehouse solutions to support business intelligence and analytics needs. Implement ETL processes to extract, transform, and load data from various sources into the data warehouse. Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical solutions. Optimize and tune data warehouse performance to ensure efficient data retrieval and processing. Develop and maintain documentation for data warehouse processes, architecture, and data models. Ensure data quality and integrity through validation, cleansing, and monitoring procedures. Troubleshoot and resolve data warehouse issues to ensure continuity and reliability. Stay current on emerging data technologies and best practices in business intelligence and data warehousing. What you bring
Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 5+ years of experience as a Data Warehouse Developer, Data Engineer, or in a similar technical data role. Strong knowledge of data warehousing concepts, ETL processes, and database management. Proficiency in SQL and experience with database technologies such as Oracle and Azure SQL Server. Experience with ETL tools such as Azure Data Factory. Familiarity with data modeling techniques and tools. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred:
Experience with Power BI and data visualization tools. Knowledge of Oracle data extract technologies such as BICC and BIP. Experience with Azure DevOps and Azure Data Factory.