Data Engineer - Preferred Locations are Nashville, Newark, Chicago, or Vancouver
MARSNashvilleUpdate time: July 11,2021
Job Description

A mutually rewarding experience.

Work. Realize your ambitions. And realize there’s more to being in business than just making a profit. That’s the Mars philosophy. And the opportunity we offer every one of our Associates. An opportunity to take what you do and make it mean more for you, for those around you and for the planet.  What you get here is challenging, interesting work. You get the tools you need to do a great job and you get to have the best possible people on your side to help you do it. And at the same time as getting to find ways to do business better today than we did it yesterday and driving a great career, you also get to build a more enlightened business and drive sustainability.

Because it’s never just about a single person, a single project or a single brand. It’s about how you can grab everything that’s within your reach here and use it to pursue mutual, long-term gain. It’s about having ideas. And ideals. Being prepared to risk failure because the promise of success means we’ll all be a little better off. It’s that mix of integrity and ambition that makes Mars such a special place to work. And why working here is always about more than just a job.

About Mars, Incorporated 

Mars is a family-owned business with more than a century of history making diverse products and offering services for people and the pets people love. With almost $35 billion in sales, the company is a global business that produces some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, UNCLE BEN’S®, MARS DRINKS and COCOAVIA®. Mars also provides veterinary health services that include BANFIELD® Pet Hospitals, Blue Pearl®, VCA® and Pet Partners™. Headquartered in McLean, VA, Mars operates in more than 80 countries. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire its more than 100,000 Associates to create value for all its partners and deliver growth they are proud of every day.

 

Purpose of Role:

Data and Analytics is foundational to our Petcare OGSM and will drive our transformation to a business that is powered by data.
To deliver on this ambition set by this OGSM we require the very highest level of technical / engineering expertise within Global Petcare Data & Analytics
There is a need to expand this high performing team of creative, skilled individuals – to help build out new capabilities and bring fresh ideas to the table.

 

Key Responsibilities:

  • Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask
  • Ingest and integrate data from a large number of disparate data sources
  • Design and build complex data models for analytical insight
  • Write high quality code contributing to a platform which is scalable and easy to maintain
  • Work closely with translators, data scientists and technology partners to understand their requirements
  • Exercise fluid communication
  • Adopt DevOps & CI/CD methodologies to collaborate on a growing platform
  • Enthusiastically evolve your technical skillset, engage in training and learn new technologies and techniques
  • Tackle challenging project tasks demonstrating ownership and responsibility

 

Context & Scope:

  • A skilled engineer on the Petcare Data Platform, helping build the foundations for a better understanding of pets and pet-owners
  • Manage data to produce valuable data assets on pets and pet-owners
  • Work in teams to focus on key areas of development within the Petcare Data Platform
  • Work comfortably in an agile and fast paced environment
  • Contribute enthusiastically to technical design and brainstorming sessions
  • Present work and success stories to stakeholders and the wider team

 

What are we looking for?

  • Bachelor’s degree  
  • Masters / Degree with some computing, scientific, statistical or mathematical component preferred

•            Experience in processing data using Spark / Databricks or similar

•            Experience working in a cloud environment (Azure, AWS, GCP)

•            Experience in at least one of: Python (or similar), SQL, PySpark

•            Experience in building data pipeline/ETL/ELT solutions

•            Ability and strong desire to research and learn new technologies and languages

•            Interest in the contemporary data engineering and analytics landscape, the current tools, the latest approaches

 

Preferred: 

•            Highly advantageous - Neo4J / Cypher

•            Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions

•            Advantageous - Delta Lake storage layer

•            Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js

 

 

 

 

 

 

 

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

 

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