Data Engineer

Skills

Description

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.

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
• 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

Educational Requirements

• 1. Familiarity with data analytics & visualization tools (SQL, Databricks/Snowflake, PowerBI, & Azure Cloud)
• 2. Experience with the Agile Software Development Lifecycle
• 3. CPG experience working with IS + Business partners across various business units