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Data Engineer

Full Time | Consumer Goods 5 Months Ago

Data Engineer

Summary:

Data Engineer will work on designing, building, and implementing data foundations to support strategic analytics projects that drive 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 expert technical knowledge of 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

Responsibilities:
  • 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 ETL/ELT integrations 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, 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, NoSQL databases, 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 engineering and analytic tools as needed
  • Contribute to development of the overall solution approach
  • Recommend solutions to address gaps


Requirements:
  • 4-year Bachelor’s degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related field
  • At least 2 years of enterprise BI and Analytics technical experience implementing data warehouse and data marts in an Agile environment
  • 2 years of recent experience using data integration, ETL, ELT, data replication, and data warehouse automation tools such as Qlik Replicate, Qlik Compose, Microsoft Azure Data Factory, Oracle Data Integrator, Informatica Power Center or Microsoft SQL Server Integration Services
  • 2 years of recent experience in data processing using SQL, Python
  • Experience with MPP systems, Azure Synapse preferred
  • Experience with databases like Microsoft SQL Server, Oracle
  • Experience 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 Spark, Kafka, DataBricks, Hive, or equivalent
  • Experience with visualization technologies and services including Microsoft Power BI, SAP Analytics Cloud, Oracle Business Intelligence is a plus
  • Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure ML
  • Experience working in DevOps / CICD framework is a plus
  • Experience with metadata management discipline and practices using Information Steward is a plus
  • High accountability with a demonstrated ability to deliver
  • Strong communication skills including design documentation
  • Strong collaboration skills working with architecture, design and development teams

WEBSITE

adm.com

HEADQUARTERS

CHICAGO, IL

SIZE

15,000 - 50,000

FOUNDED

1902

TYPE

Public

CEO

JUAN R LUCIANO

REVENUE

>$50B

INDUSTRY

Consumer Goods

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About Archer Daniels Midland

ADM processes cereal grains and oilseeds into products used in food, beverage, nutraceutical, industrial and animal feed markets.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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02/26/2022: Newark, NJ

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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