Associate Data Engineer

Associate Data Engineer

This job is no longer open

Description & Requirements

WHO WE ARE

We're one of the world's largest food and beverage companies and a trusted producer of high-quality- great-tasting- and nutritious foods- earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products- we're dedicated To Sustainably Grow by Delighting More Consumers Globally.

Today- The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered- agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions 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 our business challenges. You can look forward to high-impact- no bureaucracy- entrepreneurial work – done in small teams – and a unique opportunity to create something bold- something awesome- something inventive -- and something globally impactful.

WHAT YOU’LL DO

As an Associate Data Engineer- you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data- enabling Kraft Heinz to advance data-driven decision-making capabilities across the enterprise.

You will have an understanding of data architecture- data engineering- data analysis- and reporting This will require basic understanding of data science techniques and workflows- as well as the business processes supported by the data pipeline. Examples of problems you will tackle include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:

  • Develop and / or maintain data architecture and pipelines that adhere to ELT principles and business goals
  • Solve data problems to deliver insights that helps our business to achieve their goals
  • Create data products for Business Intelligence Engineers- Business Analyst- and data scientist team members to improve their productivity
  • Foster a culture of sharing- re-use- design for scale stability- and operational efficiency of data and analytical solutions
  • 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 data engineering solutions.
  • Learn about machine learning- data science- computer vision- artificial intelligence- statistics- and/or applied mathematics.
  • Work with the latest data technologies- deep dive on coding and scripting languages- and deploy data-driven solutions on cloud infrastructures

WHO YOU ARE

  • 1+ years of experience working in data engineering or architecture role.
  • Experience in ELT and data analysis and experience with SQL and at least one programming language (Python/R preferred)
  • Experience and/or knowledge of CI/CD (continuous integration and continuous deployment) practice using GitHub or Azure repos.
  • Conceptual knowledge of data and analytics- such as dimensional modeling- ELT- reporting tools- data governance- data warehousing- structured and unstructured data.
  • Familiarity with cloud service providers including AWS- Azure- or Google.
  • Familiarity with the Linux operating system
  • Nice to have exposure to BI tools such as Alteryx- Tableau- Power BI- Looker.
  • Nice to have exposure to data warehouses in big data solutions e.g.- Snowflake
  • Nice to have exposure to machine learning- data science- computer vision- artificial intelligence- statistics- and/or applied mathematics
  • An agile learner who brings strong problem-solving skills- and enjoys working as part of a technical- cross functional team to solve complex data problems
  • Bachelor’s degree required; Computer Science- MIS- or Engineering preferred or equivalent experience

WHY US?

We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. We’re dedicated To Sustainably Grow by Delighting More Consumers Globally- and what we build today helps bring joy to customers- consumers- and communities around the world tomorrow.  Here at Kraft Heinz- we're not afraid to challenge the status quo.

We are bold. We embrace new ideas. We value diverse perspectives- and we dare to do better every single day. We reward courage in the face of uncertainty. And every day- we are transforming our industry.  We are creating the future of food- and we invite you to join us!

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This job is no longer open
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