Sr. Data Engineer Ag & Trading
Job Location:
Atlanta, GA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe responsible and sustainable way. Sitting at the heart of the supply chain we partner with farmers and customers to source make and deliver products that are vital for living.
Our 155000 team members innovate with purpose providing customers with lifes essentials so businesses can grow communities prosper and consumers live well. With over 160 years of experience as a family company we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thingtoday and for generations to come.
Job Purpose and Impact
The Senior Data Engineering job designs builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision this job ensures that large sets of data are efficiently processed and made accessible for decision making. Experience with Snowflake would be beneficial and proficiency with modern data management techniques. An existing understanding of data for commodity trading analytics would be appreciated.
Key Accountabilities
- DATA INFRASTRUCTURE: Prepares data infrastructure to support the efficient storage and retrieval of data.
- DATA FORMATS: Examines and resolvesappropriate dataformats to improve data usability and accessibility across the organization.
- DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering andcloud-basedtechnologies ensuring they are designed and built to be scalablesustainableand robust.
- DATA PIPELINES: Develops andmaintainsstreaming and batch data pipelines thatfacilitatethe seamless ingestion of data from various data sourcestransformthe data intoinformationandmoveto data stores like datalake datawarehouseand others.
- DATA SYSTEMS: Reviews existing data systems and architectures toidentifyareas for improvement and optimization.
- STAKEHOLDER MANAGEMENT: Collaborates with multi-functional data and advanced analytic teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
- DATA FRAMEWORKS: Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
- AUTOMATED DEPLOYMENT PIPELINES: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
- DATA MODELING: Performs complex data modeling in accordancetothe datastore technology to ensure sustainable performance and accessibility.
Qualifications
Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred Qualifications:
- CLOUD ENVIRONMENTS: Experience developing data systems on major cloud platforms (AWS GCP Azure).
- DATA ARCHITECTURE: Hands-on experience building modern data architectures including data lakes datalakehouses and data hubs along with related capabilities such as ingestion governance modeling and observability.
- DATA INGESTION:Demonstratedproficiencyin data collection ingestion tools (Kafka AWS Glue) and storage formats (Iceberg Parquet).
- DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka Flink).
- DATA MODELING:Expertisein data transformation and modeling using SQL-based frameworks and orchestration tools (dbt AWS Glue Airflow). Deep experience with modeling concepts like SCD and schema evolution.
- DATA TRANSFORMATION: Strongbackground withusing Spark for data transformation including streaming performance tuning and debugging with Spark UI.
- PROGRAMMING: Advanced programming skills in Python Java Scala or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization.
- DEVOPS:Demonstratedexperience in DevOps practices including code management CI/CD and deployment strategies.
- DATA GOVERNANCE: Strong background in data governance principles including data quality privacy and security considerations for data product development and consumption.
The business will not sponsor work visas for applicants for this position.
#HiPo
Equal Opportunity Employer including Disability/Vet.
Required Experience:
Senior IC
About Company
Cargill, Incorporated is an American privately held global corporation based in Minnetonka, Minnesota, and incorporated in Wilmington, Delaware. Founded in 1865, it is the largest privately held corporation in the United States in terms of revenue.
