All Posting Locations: Chicago, IL, US
Job Functions: Digital
Date Published: September 18, 2024
Ref#: R-86416
ABOUT THE ROLE
POSITION: Sr. Data Engineer
Overview: The Sr. Data Engineer is responsible for designing, developing, optimizing, and maintaining data architecture and pipelines that adhere to ELT principles and business goals. Specific duties include:
Duties:
- Solve complex data problems to deliver insights that help our business achieve their goals.
- Interact with Plant managers, team leads, and business at manufacturing plants to understand and develop IT solutions to automate/solve data issues.
- Create data products for Business Intelligence Engineers, Business Analysts, and Data Scientist team members to improve their productivity at the plant.
- Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices.
- Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve our productivity as a team.
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
- Partner with machine learning engineers, business intelligence engineers, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
- Maintain an understanding of DevOps processes for code deployment via CI/CD pipelines and code integrity.
Requirements:
- Bachelor's degree in Engineering, Computer Science, MIS, or a directly related field, and at least ten (10) years of experience in data engineering or a closely related role.
- Must have some experience with: (1) Hands-on experience in working with Python programming, DBT, and SQL complex queries for transformation, streamlining Data Pipelines, and building workflows to automate the jobs. (2) Snowflake data modeling and ELT using Snowflake SQL, implementing best practices with data warehouse and ETL concepts. (3) Loading data from SAP HANA, SharePoint, Shared drive, and UNIX file system into Snowflake cloud using Azure ADF.
- Knowledge of Azure architecture and monitoring the Azure Data services, data science, statistics, and/or applied mathematics.
- Developing manufacturing tools (like Overfill, OEE, Quality, and Maintenance) and Deployment tool in a production environment.
- Involved in client interaction about business requirements and coordinated with offshore to complete the requirement and ensured smooth deliverables without any business impact.
Location(s)
Chicago/Aon Center
Kraft Heinz is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact .
DIGITAL AT KRAFT HEINZ
Our Digital team empowers every aspect of our business.
Discovering what’s next in food using Python, Azure ML, and Alteryx. Building and designing apps. Improving our supply chain.
We’re bringing agility to beloved brands across the globe — making life delicious for our customers and communities, today and tomorrow.
#J-18808-Ljbffr