
Sr Data Engineer - Kimball International, Jasper, IN
- Jasper, IN
- Permanent
- Full-time
- Contribute to the development of business cases, cost justifications and functional specifications
- Collaborate with functional teams to gather, understand, and document business requirements and challenges
- Participate in the construction of development standards using the best practices of SDLC and ensure adherence throughout the implementation and support process
- Design, develop, document, and implement data-driven solutions using enterprise-supported analytical platforms and tool sets
- Create or enhance enterprise grade analytical data products (semantic data models) using advanced techniques in D&A platforms (SSAS and Power Bi cloud)
- Develop or modify data warehouses and data marts in SQL and MS Fabric using best practices of data engineering
- Collaborate with business users and reporting analysts to develop and execute test plans
- Take ownership of existing data warehouse databases, data marts, and analytical models
- Monitor processes of data collection, storage, and analysis
- Monitor the ETL jobs for their failures / load time and continuously optimize them
- Develop and maintain data models using SSAS to support business intelligence and analytics
- Analyze large datasets to identify trends, patterns, and insights that inform business decisions and assess supplier risk
- Constantly analyze business performance and processes using the data
- Train team members and business users on data literacy as and when required
- Stay updated with the latest happenings in the business intelligence space
- Mentor and provide guidance to externally contracted Data Engineering developers
- High Integrity and ethical behavior
- Work in a team environment
- Team building skills
- Being able to lead the project, or be a team member in a project
- Enables teamwork and cooperation
- Extremely proficient in SQL – Databases, tables, views, Store Procedures, UDFs, CTEs, Linked servers, etc.
- Extremely proficient in DAX language both to query and to develop new measures / columns
- Sound understanding of BI semantic layer, data engineering, and database concepts
- Expertise in data warehouse tools / databases / modern BI solutions
- Ability to architect, develop and deploy enterprise grade data models using platforms like SSAS, and Power BI
- Ability to architect, and develop data engineering solutions to feed semantic models and to support operational reporting using tools like SQL, Power BI, Snowflake, etc.
- Knowledge of Data Engineering and Business Intelligence terminologies and concepts
- Work with multiple data sources, databases, data formats – SAP ECC, ADP, SFDC, Syspro, etc.
- Highly skilled in ETL process
- Leverage cloud technologies, including Azure Data Lake Storage, One Lake, and MS FABRIC, to build scalable and reliable data solutions
- Utilize Spark on MS FABRIC to perform big data processing and analysis tasks
- Knowledge of OLTP systems and process – SAP, SFDC, and Syspro
- Excellent listening abilities
- Excellent written and verbal communication across all organizational levels, including customers and suppliers
- Strong presentation and facilitation skills
- Ability to articulate technical issues and solutions to non-technical audiences
- Clarity of focus - Sets objectives, manages and measures to ensure delivery of those objectives
- Manages the expectations of customers, suppliers and members
- Proficient at “Selling” solutions and educating others as needed
- Fact based decision making
- Must demonstrate a wide degree of creativity and latitude in this role
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (Master’s preferred).
- 10+ years of experience in data engineering, data integration, data modeling, or related fields.
- 5+ years working with SQL is must.
- 3+ years of working experience in SSAS or Power Bi semantic models is must.
- Working in a team environment with onshore / offshore resources is a plus.
- Proven ability to develop scalable, high-performing data pipelines that support AI, ML, and BI applications.
- Experience working with modern data architecture, including cloud platforms such as Microsoft Fabric, Azure, or Snowflake.