Senior Data Engineer

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Overview

The Data Engineer III has a demonstrated track record expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will support our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will optimize our company's data architecture to support our next generation of products and data initiatives. They are responsible for projects from inception to completion including all project artifacts, executive status reports, and supervision of less experienced contributors. They work on problems of diverse scope where analysis of data requires evaluation of identifiable factors, deep understanding of the business strategy, operations, markets, and key stakeholders.

Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, Quincy, MA, Scarborough, ME, Hyattsville, MD, Mauldin, SC, and Hyattsville, MD.

Applicants must be currently authorized to work in the United States on a full-time basis.

Responsibilities

• Solves moderate to complex application errors, resolves application problems, following up promptly with all appropriate customers and IT personnel.
• Reviews and contributes QA test plans and supports QA team during test execution.
• Designs and develops data transformations and data pipelines.
• Ensures change control and change management procedures are followed within the program/project as they relate to requirements.
• Designs and develops BI datasets for reports and dashboards to support decision-making within business and IT.
• Contributes to requirement documents, create functional design documents, and review the functional design documents created by vendor partners as a part of software development life cycle.
• Documents all phases of work including gathering requirements, joining relationship diagrams, creating database diagrams, report layouts and other program technical specifications using current specified design standards for new or revised solutions.
• Relates information from various sources to draw logical conclusions.
• Conducts unit testing on ELT and report development.
• Conducts data lineage and impact analysis as a part of the change management process.
• Conducts data analysis (SQL, Excel, Data Discovery, etc.) on legacy systems and new data sources.
• Documents reporting requirements through engagement with business process SMEs.
• Creates source to target data mappings for data pipelines and integration activities.
• Identifies the impact of proposed application development/enhancements projects.
• Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs.
• Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform.
• Assists in assessing alternative software solutions for workability and technical feasibility.
• Implement and maintain data governance policies and procedures to ensure data quality, security and compliance
• Remain up to date on emerging technologies and best practices in data engineering.
• Recommend new approaches to improving data infrastructure.

Requirements

• Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience).
• 5 or more years of equivalent experience in relevant job or field of technology.
• Experience in an advanced role or technical capacity, leading teams directly or indirectly.
• Experience in guiding, training or onboarding team members in relevant technologies, capabilities or skills.

Preferred Qualifications:

• Masters Degree in relevant field of study, Additional trainings or certifications in relevant field of study.
• Expertise in Azure Data Platform, Data Factory and Databricks to design, implement, and maintain scalable data solutions, with a strong background in cloud-based data engineering, data lakes, and ETL processes.
• 3 or more years experience in Agile teams and or Product/Platform based operating model.
• Experience in retail or grocery preferred.
• Experience in leading teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.