Mgr Data Engineering Commercial
HersheyCareers

Hershey, Pennsylvania

This job has expired.


Job Title: Manager Data Engineering

Job Location: Hershey, PA

***Note: This position can be 100% remote***

Summary:

The Enterprise Data organization drives value for Hershey by providing high-quality, well governed data to the Enterprise for analytics and decision-making.

The Manager of Data Engineering will lead a team of data engineers in the commercial domain, focusing on the execution and upskilling of their team. You will ensure that new and existing data solutions meet expectations and requirements.

The data engineering leader will work with Hershey business partners, data scientists, technical engineers, and project managers to ensure engineering standards adhere to company best practice and help to deliver rapid impactful benefits.

Major Duties & Responsibilities:

50%: Delivery:

Lead and manage the development and delivery high-quality data pipelines adhering to best practice, privacy, and governance principles. Prioritize, plan and procure resources for ongoing development and future projects. Manage status communications with Scrum Masters, Product Owners and other internal stakeholders.

30%: Mentoring and Coaching:

Work to provide formal and informal education, development, mentorship to the immediate team, as well as Enterprise Data organization. Manage and coach team members to meet their goals, development plans and career path at Hershey.

20%: Data Engineering Domain:

Collaborate with IT and business partners to define, manage and deliver innovative Data solutions to drive growth and adoption of capabilities at Hershey.

Specific Job Responsibilities:

  • Using best practices, oversee the health and evolution of team engineering technologies
  • Works closely with leaders within data engineering, data architecture, data science and domain experts, to build and maintain roadmaps against the IT strategy
  • Collaborate with data leaders to build a curriculum for upskilling and conditioning the data engineering competencies
  • Partner to deliver a modern data engineering model that follows Dev/Ops principles and standards for continuous integration/ continuous delivery (CI/CD) processes
  • Ensure reliability in data and data pipelines, enforcing governance, security, and performance
  • Collaborate in developing best in class key performance indicators to measure the performance and quality of the data engineering teams and processes
  • Able to articulate the holistic benefits of data engineering from a business perspective, while maintaining the relationship with business analysts, data scientists, technical engineers, and project managers

Minimum Experience Requirements:

Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities:

  • Demonstrated leadership and managerial skills
  • Leading technology solutions and project delivery including scoping, design, execution and delivery end-to-end
  • Experience designing, implementing large scale data pipelines for data curation, feature engineering and machine learning across multiple environments
  • Working knowledge of agile frameworks
  • Ability to manage multiple priorities, meet deadlines and produce quality results under pressure
  • Strong problem solving and analytical skills
  • Strong team player, change agent, and advocate
  • Excellent customer service skills
  • Excellent verbal and written communication skills3-5+ years of progressive experience working with data, much of which has been focused on working with cross-functional teams and enterprise-wide data management programs

Technical Skills:

  • 3+ years of experience in building data solutions within an enterprise environment using industry standard guiding principles and practices
  • 3+ years of leveraging data integration tools to build data pipelines e.g., Informatica, Talend, Matillion
  • 3+ years of experience with SQL, Python, Scala and Spark languages to explore, interact and build solutions
  • 3+ years of experience with public and private cloud solutions
  • 1-3 years leading a technical development team
  • Advanced working knowledge and experience with relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions or Hadoop
  • Experience working with machine learning and data science teams
  • Experience building data visualizations or analytics e.g., Power BI, Tableau, SSRS, SAP
  • Experience working in a high performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align to business partner strategy
  • Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
  • Experience leading a project team or project function to deliver an enterprise data, application and/or ERP solution
  • Experience with COBIT/SOX, as well as PII data in accordance with relevant laws

Minimum Education:

  • Bachelor's in a STEM degree
  • Master's degree and/or related equivalent experience preferred

The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.

The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans

If you require a reasonable accommodation as part of the application process, please contact the HR Service Center (askhr@hersheys.com).


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