Data Engineer
Heartland Food Products Group
full-time
Posted on:
Location Type: Office
Location: Carmel • United States
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Tech Stack
About the role
- Design, develop, and deploy data ingestion and egress solutions to meet evolving business and analytics requirements
- Participate in defining data standards, governance practices, and warehouse architecture models
- Partner with data owners and department leaders to design data models and establish protocols for accessing and analyzing production data
- Contribute to the development and refinement of data management policies, procedures, and best practices
- Identify gaps and improvement opportunities within data engineering processes and platforms, and communicate recommendations to stakeholders
- Analyze existing BI and EDW architecture and recommend enhancements to support scalability, performance, and growth
- Build, maintain, and optimize data pipelines, transformations, and data models
- Collaborate with application development teams to design and manage data queries, procedures, and integrations
- Monitor data warehouse performance, including stored procedures and query execution, and implement efficiency improvements
- Diagnose and resolve data access, quality, and performance issues across the data platform
- Develop and maintain change control, testing, and deployment processes for data model and pipeline changes
- Implement and promote data quality, validation, and monitoring practices
- Define and maintain data definitions and metadata for new and existing database objects
- Collaborate with business users, analytics teams, and IT partners to ensure data solutions align with business needs
- Create documentation, standards, and reusable routines to enable best-practice use of data tools
- Provide guidance and support to data consumers to improve data literacy and effective data usage
Requirements
- Bachelor’s degree in Information Technology, Computer Science, or a related field
- Proven experience delivering data engineering, data warehousing, or business intelligence solutions
- Experience integrating data across multiple systems and platforms with a focus on reuse and scalability
- Ability to manage multiple priorities and work independently as well as collaboratively in a team environment
- Strong knowledge of data warehousing methodologies, data modeling, data quality, and data governance
- Advanced SQL skills and experience with data manipulation and transformation
- Experience with Microsoft BI and data technologies
- Strong understanding of relational database concepts, structures, and best practices
- Hands-on experience with large-scale data modeling, data mining, and business requirements analysis
- Experience working in a DevOps or agile environment, including version control (e.g., Git), code reviews, and CI/CD practices
- Familiarity with data processing flowcharting and documentation techniques
Benefits
- Ability to sit or stand for extended periods while working with computers and other electronic media
- Occasional overtime may be required to meet project deadlines
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata warehousingbusiness intelligencedata modelingdata qualitydata governanceSQLdata manipulationdata transformationdata mining
Soft Skills
collaborationcommunicationproblem-solvingindependenceprioritizationdata literacy
Certifications
Bachelor’s degree in Information TechnologyBachelor’s degree in Computer Science