Job Description

[ n Your Job INVISTA is seeking a Data Engineer who is motivated to create virtuous cycles of mutual benefit with our partners. This can be accomplished through the means of developing data models that take data to insights that drive action to value. Data engineer will be an integral part of the development, implementation, and on-going governance of INVISTA\'s Enterprise Data Lake. Our Team This role will be a member of the INVISTA Analytics team that provides enablement for traditional reporting and advanced analytics throughout INVISTA. This is accomplished through efficient ingest, storage, and consumption of data. The industries served are manufacturing and commercial. In this role you will enable Modern data to architecture & assist us with meta data driven frameworks and data pipeline for all business partners including Operations, Supply Chain, Finance, Data Science and R&D What You Will Do Work with business partners to understand key business drivers and use that knowledge to experiment and transform Business Intelligence & Advanced Analytics solutions to capture the value of potential business opportunities. Translate a business process/problem into a conceptual and logical data model and proposed technical implementation plan. Assist in developing and implementing consistent processes for data modeling, mining, and production. Focus on implementing development processes and tools that allow for the collection of metadata, access to metadata, and completed in a way that allows for widespread code reuse (e.g., utilization of ETL Frameworks, Generic Metadata driven Tools, shared data dimensions, etc.) that will enable impact analysis as well as source to target tracking and reporting. Improve data pipeline reliability, scalability, and security. Who You Are (Basic Qualifications) 4+ years of industry professional experience or a bacheloru2019s degree in MIS, CS, or an industry equivalent. 3+ yearsu2019 working experience & deep understanding of SAP Processes Data modelling/Engineering experience (preferably AWS) with strong knowledge in SQL, developing, deploying, and data modelling (Data warehouse) and data pipelines on AWS cloud or similar other cloud environments. Strong experience in business and technical requirements analysis, elicitation, data modeling, verification, and methodology development with a good hold of communicating complex technical ideas to technical and non-technical team members. Demonstrated strong experience in SAP functional knowledge. Willing to work on data engineering development for provisioning and troubleshooting. What Will Put You Ahead 3+ yearsu2019 working experience & deep understanding of SAP Processes. Understanding of the technical aspects of SAP Configuration and SAP Table relations. Ability to converse with Product Owners, Business stake holders and map the requirements to SAP standard processes. Prior knowledge on building data models or willingness to transform into data engineering space. Experience working in agile methodology. Knowledge/Working with Snowflake (Optional) At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidateu2019s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Who We Are As a Koch company, Koch Global Services (KGS) creates solutions spanning technology, human resources, finance, project management and anything else our businesses need. With locations in India, Mexico, Poland and the United States, our employees have the opportunity to make a global impact. \'Koch is proud to be a equal opportunityxa0workplace.\' n ]

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