Sr Data Engineer

Job Title: Senior Data Engineer
Job Location: Hershey, PA
This position is open to a 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 Sr. Data Engineer will be part of an agile execution team, working 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.
The Sr. Data Engineer will act as a trusted advisor for Hershey business partners by ensuring that data solutions meet expectations and requirements. You will work with a diverse team of business analysts, data scientists, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner's strategy. In addition, you will work directly with the Sr. Manager of Data Engineering to ensure consistency and compliance of deliverables to frameworks and governance processes.
Major Duties/Responsibilities:
Time %
Summary of major duties:
1.
60%
Data Engineering Solution Delivery:
Develop and deliver high-quality data pipelines adhering to best practice, privacy, and governance principles
2.
20%
Data Engineering Maintenance/Optimization:
Work existing data pipelines and solutions to enhance its performance, quality and/or functionality. Resolve incidents escalated by support teams or business users
3.
10%
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
4.
10%
Data Engineering Advocacy:
Evangelize future data solutions identified by Enterprise Data leadership, including innovations such as: metadata management; data security and governance; cloud-based systems for data storage; multi-environment integration and automation of data tasks and movement
Specific Job Responsibilities:

• Executes the strategy to deliver cloud-based intelligent systems to collect, distribute, model, and analyze disparate and diverse data assets to automate insights and drive business performance.
• Using best practice frameworks and governance, evaluate, design, and analyze solution engineering for agile delivery.
• Create and develop robust and secure ETL pipelines across a broad range of data-focused products, services, projects, and systems.
• Using best practice guidance from Enterprise Data leadership, oversee the health and evolution of agile execution 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.
• 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 knowledge, skills and abilities required to successfully perform major duties/responsibilities:

• 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.
• Demonstrated leadership and managerial skills.
• Strong problem solving and analytical skills.
• Strong team player, change agent, and advocate.
• Excellent customer service skills
• High energy self-starter
• Excellent verbal and written communication skills

Leadership Competencies
Strategic Thinking
Thinks strategically by clearly anticipating future trends, challenges, and consequences, creating breakthrough business strategies and plans to achieve a competitive advantage. Creates clear and compelling vision and strategy, t ranslates strategy into business plan, and communicates strategic vision to employees.
Business Acumen
Leverages business judgment to shape strategy, based on understanding of operational, commercial, financial, and organizational requirements and capabilities. Understands the Hershey business units, regions, and functions, and the manufacturing, commercialization and market access of its products and services.
Drive for Results
Pushes self and others to exceed goals and achieve breakthrough results. Recognizes the key actions necessary to achieve results, establishes and communicates the priorities to others, and maintains own and others focus on achieving the important goals. Demonstrates persistence in removing barriers to achieving results and encourages others to do the same.
Prioritization and Judgment
Prioritizes and focuses on the right ideas, opportunities, issues, and projects. Develops decision criteria and considers benefits, costs, and risks of each decision and its immediate and long-range implications. Makes timely, sound judgments in uncertain and changing situations.
Influential Leadership
Leads and persuades others, within and outside of Hershey and without direct authority or formalized structure. Understands other's needs motivations, concerns, and positions. Establishes credibility with stakeholders and confidently influences their opinions and actions. Inspires and leads others to adopt common vision, achieve organizational change, and accomplish business strategies.
Partnership
Develops and maintains quality, long-term relationships and partnerships based on trust, transparency, communication, and credibility with key internal and external stakeholders to accomplish strategic objectives. Works to find common ground and mutually beneficial solutions to conflicts. Uses diplomacy and tact to diffuse high-tension situations.
Global / M&A Mindset
Thinks from a global / M&A perspective and understands market, regulatory, political, economic, and cultural differences across countries and regions and their interdependencies. Understands how stakeholders and teams work and communicate in other countries and regions and how to adapt behavior and strategy to ensure alignment with market and cultural differences.
Talent Management and Development
Defines and communicates performance standards and continuously raises the bar. Motivates employees to perform at their highest potential and achieve breakthrough results, holding individuals accountable for own actions, and recognizing individual contributions and achievements. Leads development of internal talent to meet the future needs of the organization.
Customer Focus
Builds a culture that strives to exceed customer needs and is creatively challenged by and responsive to customer experiences. Creates clarity within the organization of what successfully meeting customer needs looks like. Gives priority to customer needs and makes organizational adjustments based on continuously reevaluating how well customer needs are being met.
Minimum Education and Experience Requirements:
Education:

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

Experience:
3-5+ 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

• 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
• 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

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