Data Engineer

4 weeks ago

Erlanger, United States ADM Full time

Job Description Data Engineer II -
(SAP)This is an exempt level position. Summary: Data Engineer/Analyst will work on designing, building, and implementing a data foundation to
support a strategic analytics project that drives strategic growth for ADM. 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. 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. Data Engineer needs to have specifically expert technical knowledge of Python, AzureAI and RAG and
platforms and software technology (ETL/ELT, SQL, PySpark, 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
Responsibilities: Standardize data and reporting across businesses and teams to enable consistency and quality of key business dataDesign and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practicesDesign, develop, test and document data integrations and assist with deployment, validation and hypercareMaintain and support SAP Datasphere analytical model and Azure integrations like ADF, Synapse and AI using technical documentationParticipate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirementsDevelop and maintain SQL, PL/SQL, PySpark, Python code as neededAssist with review to confirm technical feasibility of integration development objects based on integration principles and best practicesUnderstand 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, Vector database etc.)Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision makingPropose new methodologies to demonstrate data to improve existing methodologiesDeveloping prototypes and proof of concepts for required solutionsImplementing information security standards in enterprise data warehousePrepare and present ideas and recommendations to colleagues and managementDocument solutions through high/low level design documentationLearn new groundbreaking data science and analytic tools as neededContribute to development of the overall solution approachRecommend solutions to address gapsAssist with development estimationSupervise and review activities of consultantsRequirements: 4-year Bachelor's degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related fieldAt least 6 years of enterprise BI and Analytics technical experience implementing data warehouse and data marts in an Agile environment 5 years of recent experience using data integration, SAP Datasphere, ETL data replication, and data warehouse automation tools such as Microsoft Azure Data Factory, Databricks and BEX. 5 years of recent experience in data processing using SQL, PySpark, Python. Strong working knowledge of Data Modeling & Data Transformation in Datasphere.Extensive experience in Multiple Remote Tables with Semantic usage of (Relational Dataset, Fact, Dimension, Text, Hierarchy tables)Hands on knowledge on creation of remote tables to consume data from S4 using the CDS views & S4 Tables. Experience in dynamic filters in remote tables to optimize data retrieval from S4 CDS views and S4 tables, ensuring efficient and targeted data access. Experience in Analyzing business requirements to identify and decide which data should be stored in Datasphere. Experience in creating complex data modelling using Graphical Views (Relational Dataset/Fact/Dimension) based on the Functional design document and leveraging S4 & Non-SAP as a data source. Experience working in DevOps / CICD framework
High accountability with a demonstrated ability to deliver Strong communication skills including design documentation Strong collaboration skills working with architecture, design and development teams"AJCIND" REF:
80887BR

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