- Standardize data and reporting across businesses and teams to enable consistency and quality of key business data
- Design and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practices
- Design, develop, test and document data integrations and assist with deployment, validation and hypercare
- Maintain and support Azure integrations like ADF, Synapse and AI using technical documentation
- Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements
- Develop and maintain SQL, PL/SQL, PySpark, Python code as needed
- Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices
- 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.)
- Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making
- Propose new methodologies to demonstrate data to improve existing methodologies
- Developing prototypes and proof of concepts for required solutions
- Implementing information security standards in enterprise data warehouse
- Prepare and present ideas and recommendations to colleagues and management
- Document solutions through high/low level design documentation
- Learn new groundbreaking data science and analytic tools as needed
- Contribute to development of the overall solution approach
- Recommend solutions to address gaps
- Assist with development estimation
- Supervise and review activities of consultants
- 4-year Bachelor's degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related field
- At 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, ETL, ELT, data replication, and data warehouse automation tools such as Qlik Replicate, Microsoft Azure Data Factory, Databricks and Microsoft SQL Server Integration Services
- 5 years of recent experience in data processing using SQL, PySpark, Python
- 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
- Experience with MPP systems, Azure Synapse, ML and AI preferred
- Experience with databases like SAP HANA,SQLMI, Synapse
- Experience in delivering Cloud based Data Solutions in Azure
- Experience with Data Virtualization technologies and tools, Denodo preferred
- Working knowledge of BI architecture, dimensional modeling, data warehousing best practices, and data integration standard methodologies
- Experience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOps
- Experience working with Big Data technologies such as PySpark, Kafka, DataBricks, Hive, or equivalent
- Experience 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 ML
- 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
- Physical wellness - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).
- 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.
- Mental and social wellness - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).
- Paid time off including paid holidays.
- Adoption assistance and paid maternity and parental leave.
- Tuition assistance.
- Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.
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Data Engineer - Erlanger, United States - Archer Daniels Midland Company
Description
Job DescriptionData 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:
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:
