Data Engineering Senior Supervisor
Atlanta, Georgia
Overview
Cargill operates some of the most technologically advanced production plants in the world. We need responsible, effective, safety-minded and best-in-class individuals to join our team. Engineers are vital in ensuring that consistent engineering standards are maintained to meet corporate, legal, regulatory and customer requirements. Close coordination across various teams including engineering, operations, maintenance and reliability, safety, logistics and supply chain will be integral to the success of this role. Please note, specific roles will vary greatly by plant and location. Safety is always our number one priority, and no matter your experience level, we will train you for success. Your work in our plants can help you grow both personally and professionally. Discover how your work can nourish the world and help you thrive.
- Full Time
- Level: Experienced
- Glassdoor Reviews and Company Rating
Key Traits
What makes a successful Sr. Engineering Manager at Cargill?
Check out some of the key traits that are important for this job to see if you have the right mix.
- Visual thinker
- Leadership
- Goal-oriented
- Collaborative
- TEST Collaborative
- Results-driven
- Positive
- Good listener
- Flexible
- Trustworthy
Benefits
Compensation & Pay Equity
We pay for performance and provide equal pay for the same work.
“Cargill is a great, energetic place to work. We can be ourselves and do the work we like, because of our inclusive culture. Together, our teams work hard to help the world thrive.”
Lisa W., Senior Engineering Manager
“During my time at Cargill I have been provided with many exciting opportunities to develop my engineering expertise and experience.”
Liam Mccarthy, EMEA, Plant Engineering Manager
“In 2014, I chose Cargill to be the company where I would do a compulsory internship in the Chemical Engineering course. Six years later, I see that it was a very assertive choice. As a trainee, engineer, or continuous improvement Supervisor, I fulfilled in being able to use my strengths, be authentic, and exercise my purpose to impact people's lives. Also, I have access to so many opportunities! Being a woman in a factory environment can be challenging! We are still starting to occupy this space, but, without a doubt, it is gratifying to work in a company that puts people first and promotes an inclusive and diverse environment.”
Nattalia Muttoni, LATAM, Continuous Improvement Supervisor
Data Engineering Senior Supervisor
Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies. In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust. You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.
Key Accountabilities
- Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.
- Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.
- Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.
- Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.
- Other duties as assigned
Qualifications
Minimum Qualifications
- Bachelor's degree in a related field or equivalent experience
- Minimum of four years of related work experience
- Minimum of two years leading a team of Data Engineers
Preferred Qualifications
- Confirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.
- Experience leading Big Data engineering teams working in environments such as Hadoop and Spark
- Experience leading technology strategies with cloud Platforms including AWS, GCP or Azure
- Experience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.
- Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.
- Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others
- Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent
- Proficiency in engineering tooling including docker, git, and container orchestration services
- Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.
- Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.
- A passion for quality and continuous improvement with an owners mindset
- Ability to work effectively as part of a team, group and culture
- Ability to navigate ambiguity and work in agile ways
#LI-NS7
Equal Opportunity Employer, including Disability/Vet.
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