Job Description
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 helps our business to achieve their goals.
- Interact with Plant managers, team lead and business at manufacturing plant to understand and develop IT solutions to automate/solve data issues.
- Create data products for Business Intelligence Engineers, Business Analyst, and Data Scientist team members to improve their productivity at 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 process 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 understanding DevOps process for code deployment via CI/CD pipelines and code integrity.
Requirements:
- Bachelor degree in Engineering, Computer Science, MIS, or 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 build workflows to automate the jobs. (2) Snowflake data modelling and ELT using Snowflake SQL, implementing best practices with data warehouse and ETL concepts. (3) Loading data from SAP HANA, Share-point, Shared drive, and UNIX file system into Snowflake cloud using Azure ADF
- Knowledge on 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 [email protected] .
Top Skills
What the Team is Saying
What We Do
At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers, customers, and the enterprise. That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve the problem on hand. In-turn, you can look forward to high-impact challenges, no bureaucracy, entrepreneurial small teams, and a unique opportunity to create and build something bold, awesome, and impactful – all while honoring our 150-year heritage and a portfolio of 200 iconic and emerging brands!
Why Work With Us
Our ambition is to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. You’ll invent the next wave of augmented intelligence products where software & humans work side-by-side to rethink every aspect of our company. You’ll make an imprint & leave your legacy on every part of our business.
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Kraft Heinz Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We also believe providing a more flexible and agile model is essential in today’s workplace. A majority of our office-based employees will be able to work remotely for up to two days each week.
