Learn new groundbreaking data engineering and analytic tools as neededĬontribute to development of the overall solution approach Prepare and present ideas and recommendations to colleagues and managementĭocument solutions through high/low level design documentation Implementing information security standards in enterprise data warehouse Propose new methodologies to demonstrate data to improve existing methodologiesĭeveloping prototypes and proof of concepts for required solutions Understand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in-house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.)Īnalyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirementsĭevelop and maintain SQL, PL/SQL, Python code as neededĪssist with review to confirm technical feasibility of integration development objects based on integration principles and best practices Maintain and support ETL/ELT integrations using technical documentation Standardize data and reporting across businesses and teams to enable consistency and quality of key business dataĭesign and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practicesĭesign, develop, test and document data integrations and assist with deployment, validation and hypercare Must have knowledge of the collective network of connected devices and the technology that facilitates communication between devices and the cloud, as well as between the devices themselves. Data Engineer needs to have specifically expert technical knowledge of JMP platforms and software technology (ETL/ELT, SQL, Power BI, Python), deep expertise in data management techniques, ability to drive effective support of data analysis and model management, and experience with IT project management practices Finally, designing and building data pipelines, ETL/ELT integrations, constructing and modifying data marts, preparing (cleaning, transforming) data, and collaborating with extended team members to design impactful business solutions. This involves liaising with functional teams that build or acquire the underlying data, application owners to understand raw or source data structures, and end users to accurately design strategic data marts. Data Engineer will work on designing, building, and implementing a data foundation to support a strategic analytics project with IoT that drives strategic growth for ADM.
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