Data Engineer

3 weeks ago

Erlanger, United States Hiring Now! Full time

Job Description Data Engineer - Data Analyst 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 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 environment5 years of recent experience using data integration, ETL, ELT, data replication, and data warehouse automation tools such as Qlik Replicate, Microsoft Azure Data Factory, Databricks and Microsoft SQL Server Integration Services5 years of recent experience in data processing using SQL, PySpark, PythonExperience sourcing data from ERP data sources, e.g., SAP, JD Edwards, PeopleSoft, Oracle EBS in support of analytic product development and business transformation projectsExperience with MPP systems, Azure Synapse, ML and AI preferredExperience with databases like SAP HANA,SQLMI, SynapseExperience in delivering Cloud based Data Solutions in AzureExperience with Data Virtualization technologies and tools, Denodo preferredWorking knowledge of BI architecture, dimensional modeling, data warehousing best practices, and data integration standard methodologiesExperience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOpsExperience working with Big Data technologies such as PySpark, Kafka, DataBricks, Hive, or equivalentExperience with visualization technologies and services including Microsoft Power BI and SAP Analytics Cloud is plus.Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure MLExperience working in DevOps / CICD frameworkHigh accountability with a demonstrated ability to deliverStrong communication skills including design documentationStrong collaboration skills working with architecture, design and development teams"AJCIND" REF:

80887BR

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