Data Engineer

Job Details Level Experienced Job Location Memphis Support Center - Memphis, TN Data Engineer Are you passionate about data and innovation? Monogram Foods is looking for a Data Engineer to join our IT team, supporting our co-manufacturing, private label, and foodservice channels across the United States. In this role, you will build data processing pipelines and analytics solutions using Azure cloud tools, transform data, detect and extract changes, and create models for business insights. This position requires collaboration with business analysts and stakeholders to meet their data needs. If you have a background in data engineering, proficiency in Azure tools, and a drive for excellence, we encourage you to apply Essential Job Duties & Responsibilities: Ingest data from various sources using Azure Data Factory. Transform data visually with data flows or by using compute services. Monitor and optimize ETL processes and data pipelines for performance, reliability, and scalability. Collaborate with business analysts, stakeholders, and other teams to understand their data needs. Write complex SQL queries, stored procedures, and views to support data processing and reporting requirements. Migrate data and processes to Microsoft Fabric to leverage its advanced data management and analytics capabilities. Utilize Python, PySpark, and other programming languages for data processing and analytics within Azure services. Qualifications Education & Experience: The ideal candidate will have a bachelor's degree in computer science, information technology, mathematics, or a related field. 3 years of experience in data engineering or analytics. Proficiency with Azure Data Factory, Azure SQL Analytics, and SQL Server is required. Experience with Microsoft Fabric is a plus. The candidate should also be skilled in programming languages such as SQL, Python, or Scala, and possess knowledge of parallel processing and data architecture patterns. Excellent communication and problem-solving skills are essential for success in this role. Must be 18 years or older. Competencies & Skills: Strong expertise in Azure Data Factory, Azure SQL Analytics, and SQL Server. Proficiency in SQL, Python, and/or Scala for data processing and analytics. Experience with Logic Apps, Azure Storage, REST APIs