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 tosupport 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 andplatforms 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 practicesResponsibilities: 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

Job Description Data Engineer Summary: The Data Engineer role will work on designing, building, and implementing data solutions to support strategic analytics projects & initiatives that drive strategic growth for ADM. This involves liaising with functional teams that generate or acquire data, with application owners to understand raw or source data structures, and end users to accurately design and build strategically significant Data centric projects.Responsibilities: Standardize data and reporting across businesses and teams to enhance the consistency and quality of dataDesign, develop, test and document data integrations and assist with deployment, validation and hyper-care processesMaintain and support existing ETL/ELT integrations leveraging technical documentationDevelop and maintain existing codebases 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, NoSQL databases, etc.)Analyze data and assist with developing insights to enable business decision makingDeveloping prototypes and proof of concepts for required solutionsContribute to high level solution/project designDocument solutions through high/low level design documentationSynthesize & communicate ideas and recommendations to colleagues and managementRecommend solutions to address gaps in current data processesAssist with project development estimation (epics, stories, features, bugs)Supervise and review activities of external project partnersRequirements for this position include: Bachelor's Degree in Business Analytics, Statistics, Computer Science or related fieldSignificant SQL Scripting / TSQL development experienceSignificant Experience in at least one other programming language (Python, Java, Scala)Proven data processing (ETL/ELT), data mining, data analytics and predictive modeling abilitiesOLAP & OLTP database development experience with relational databases like MSSQL Server/Oracle & PostgresUnderstanding of data warehousing and data mart conceptsAzure Cloud experience (Administration, Data engineering & Networking)Experience with pipelining tools (ADF/Azure Synapse Pipelines preferred)Experience with MPP systems, Azure Synapse preferredFamiliarity with supervised and unsupervised machine learning techniquesExperience of working within an Agile development frameworkUnit & Integration testing experience (concepts such as TDD) and experience of frameworks (such as SSDT, Pytest)DevOps implementation/execution experience (source control, CI/CD, release environment management)Ability to develop and solution both independently and collaboratively a necessityPreferred additional experience: Familiarity developing and interfacing with DenodoSpecific SAP S4 Hana integration experience (schema, modules)Salesforce Integration experience (e.g. adf salesforce bulk api)PowerShell Core development.Understanding of GenAI fundamentals (i.e. Retrieval Augmented Generation, embeddings, direct and indirect search methods)

Job Description Sr. Data EngineerJob SummaryDo you want to join a team passionate about engineering data solutions to inform business decisions and transform business performance? ADM is seeking a Sr. Data Engineer, someone who thrives in an environment continuously integrating and deploying data products and analytics driving business value. The Sr. Data Engineer is responsible for delivery, adherence to standards, and mentoring team members. The Sr. Data Engineer collaborates with teams to ensure delivery and contributes to technical design and process improvements. The Sr. Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.Job ResponsibilitiesResponsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data scienceResponsible to teach, adhere to, and contribute to DataOps and MLOps standards and best practices to accelerate and continuously improve data system performanceResponsible to design, and integrate fault tolerance and enhancements into data pipelines to improve quality and performanceResponsible to lead and perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costsEngages business end users and shares responsibility leading a delivery team.Responsible to mentor Data Engineers at all levels of experienceJob RequirementsAdvanced experience with Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, PySpark, Power BI or other cloud-based data systemsAdvanced experience with Azure DevOps, GitHub, CI/CDAdvanced experience with database storage systems such as cloud, relational, mainframe, data lake, and data warehouseAdvanced experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-basedAdvanced experience with data warehousing concepts and agile methodologyAdvanced experience designing and coding data manipulations applying processing techniques to extract value from large, disconnected datasetsExperienced presenting conceptual and technical improvements to influence decisionsContinuous learning to upskill data engineering techniques and business acumenEducation and ExperienceBachelor's or Master's degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education.7+ years proven Data Engineering experience in a complex agile environmentExcited about this role but don't meet every requirement listed? Studies show that often applicants will self-select out if they don't check every box. We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.ADM requires the successful completion of a background check. REF:85191BR

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: <ul><li>Standardize data and reporting across businesses and teams to enable consistency and quality of key business data</li><li>Design and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practices</li><li>Design, develop, test and document data integrations and assist with deployment, validation and hypercare</li><li>Maintain and support Azure integrations like ADF, Synapse and AI using technical documentation</li><li>Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements</li><li>Develop and maintain SQL, PL/SQL, PySpark, Python code as needed</li><li>Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices</li><li>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, Vector database etc.)</li><li>Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making</li><li>Propose new methodologies to demonstrate data to improve existing methodologies</li><li>Developing prototypes and proof of concepts for required solutions</li><li>Implementing information security standards in enterprise data warehouse</li><li>Prepare and present ideas and recommendations to colleagues and management</li><li>Document solutions through high/low level design documentation</li><li>Learn new groundbreaking data science and analytic tools as needed</li></ul><ul><li>Contribute to development of the overall solution approach</li><li>Recommend solutions to address gaps</li><li>Assist with development estimation</li><li>Supervise and review activities of consultants</li></ul> Requirements: <ul><li>4-year Bachelor's degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related field</li><li>At least 6 years of enterprise BI and Analytics technical experience implementing data warehouse and data marts in an Agile environment</li><li>5 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 Services</li><li>5 years of recent experience in data processing using SQL, PySpark, Python</li><li>Experience sourcing data from ERP data sources, e.g., SAP, JD Edwards, PeopleSoft, Oracle EBS in support of analytic product development and business transformation projects</li><li>Experience with MPP systems, Azure Synapse, ML and AI preferred</li><li>Experience with databases like SAP HANA,SQLMI, Synapse</li><li>Experience in delivering Cloud based Data Solutions in Azure</li><li>Experience with Data Virtualization technologies and tools, Denodo preferred</li><li>Working knowledge of BI architecture, dimensional modeling, data warehousing best practices, and data integration standard methodologies</li><li>Experience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOps</li><li>Experience working with Big Data technologies such as PySpark, Kafka, DataBricks, Hive, or equivalent</li><li>Experience with visualization technologies and services including Microsoft Power BI and SAP Analytics Cloud is plus.</li><li>Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure ML</li></ul><ul><li>Experience working in DevOps / CICD framework</li><li>High accountability with a demonstrated ability to deliver</li><li>Strong communication skills including design documentation</li><li>Strong collaboration skills working with architecture, design and development teams</li><li>"AJCIND" REF: 80887BR</li></ul> #IncludingYou Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. We welcome everyone to apply, especially those individuals who are underrepresented in our industry, as we strive to ensure our workforce represents the world that we help to feed: people of color, women, gender non-conforming, LGBTQIA+, veterans and persons with disabilities. For more information regarding our efforts to advance Diversity, Equity, Inclusion & Belonging, please visit our website here: Diversity, Equity and InclusionADM. Benefits and Perks Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including: <ul> <li>Physical wellness - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).</li> <li>Financial wellness - flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection.</li> <li>Mental and social wellness - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).</li></ul> Additional benefits include: <ul> <li>Paid time off including paid holidays.</li> <li>Adoption assistance and paid maternity and parental leave.</li> <li>Tuition assistance.</li> <li>Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.</li></ul> *Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.

Job Description Data Engineer Summary: The Data Engineer role will work on designing, building, and implementing data solutions to support strategic analytics projects & initiatives that drive strategic growth for ADM. This involves liaising with functional teams that generate or acquire data, with application owners to understand raw or source data structures, and end users to accurately design and build strategically significant Data centric projects. Responsibilities: <ul><li>Standardize data and reporting across businesses and teams to enhance the consistency and quality of data</li><li>Design, develop, test and document data integrations and assist with deployment, validation and hyper-care processes</li><li>Maintain and support existing ETL/ELT integrations leveraging technical documentation</li><li>Develop and maintain existing codebases as needed</li><li>Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices</li><li>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.)</li><li>Analyze data and assist with developing insights to enable business decision making</li><li>Developing prototypes and proof of concepts for required solutions</li><li>Contribute to high level solution/project design</li><li>Document solutions through high/low level design documentation</li><li>Synthesize & communicate ideas and recommendations to colleagues and management</li><li>Recommend solutions to address gaps in current data processes</li><li>Assist with project development estimation (epics, stories, features, bugs)</li><li>Supervise and review activities of external project partners</li></ul> Requirements for this position include: <ul><li>Bachelor's Degree in Business Analytics, Statistics, Computer Science or related field</li><li>Significant SQL Scripting / TSQL development experience</li><li>Significant Experience in at least one other programming language (Python, Java, Scala)</li><li>Proven data processing (ETL/ELT), data mining, data analytics and predictive modeling abilities</li></ul><ul><li>OLAP & OLTP database development experience with relational databases like MSSQL Server/Oracle & Postgres</li><li>Understanding of data warehousing and data mart concepts</li><li>Azure Cloud experience (Administration, Data engineering & Networking)</li><li>Experience with pipelining tools (ADF/Azure Synapse Pipelines preferred)</li><li>Experience with MPP systems, Azure Synapse preferred</li><li>Familiarity with supervised and unsupervised machine learning techniques</li><li>Experience of working within an Agile development framework</li><li>Unit & Integration testing experience (concepts such as TDD) and experience of frameworks (such as SSDT, Pytest)</li><li>DevOps implementation/execution experience (source control, CI/CD, release environment management)</li><li>Ability to develop and solution both independently and collaboratively a necessity</li></ul> Preferred additional experience: <ul><li>Familiarity developing and interfacing with Denodo</li><li>Specific SAP S4 Hana integration experience (schema, modules)</li><li>Salesforce Integration experience (e.g. adf salesforce bulk api)</li><li>PowerShell Core development.</li><li>Understanding of GenAI fundamentals (i.e. Retrieval Augmented Generation, embeddings, direct and indirect search methods)</li></ul> About ADM At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We're a global leader in human and animal nutrition and the world's premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com. #IncludingYou Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. We welcome everyone to apply, especially those individuals who are underrepresented in our industry, as we strive to ensure our workforce represents the world that we help to feed: people of color, women, gender non-conforming, LGBTQIA+, veterans and persons with disabilities. For more information regarding our efforts to advance Diversity, Equity, Inclusion & Belonging, please visit our website here: Diversity, Equity and InclusionADM. Benefits and Perks Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including: <ul> <li>Physical wellness - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).</li> <li>Financial wellness - flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection.</li> <li>Mental and social wellness - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).</li></ul> Additional benefits include: <ul> <li>Paid time off including paid holidays.</li> <li>Adoption assistance and paid maternity and parental leave.</li> <li>Tuition assistance.</li> <li>Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.</li></ul> *Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.

Data Engineer Jobs in Erlanger, KY

Data Engineer
May 24, 2024

Data Engineer Machine Learning
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Sr Data Engineer Erlanger Ky
May 24, 2024

Sr Data Engineer Erlanger Ky
May 17, 2024

Data Engineer
May 8, 2024

Data Engineer Machine Learning
May 8, 2024

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Data Engineer Jobs in Erlanger, KY

Data EngineerMay 24, 2024

Data Engineer Machine LearningMay 24, 2024

Sr Data Engineer Erlanger KyMay 24, 2024

Sr Data Engineer Erlanger KyMay 17, 2024

Data EngineerMay 8, 2024

Data Engineer Machine LearningMay 8, 2024