Data Engineer

Key Skills

Azure, Continuous Integration & Continuous Delivery - CI/CD, Data Lake, Data science techniques, Databricks, DevOps, Infrastructure as code, Python Programming, REST API, Scala Programming, SQL

Job Description

Job Responsibilities

• Develops software that processes, stores and serves data for use by others.
• Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
• Develops data pipelines that are scalable, repeatable and secure.
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Effectively resolves problems and roadblocks as they occur.
• Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.

About Walgreens and WBA

Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader with a 170 year heritage of caring for communities. WBA’s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation’s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high quality products and services in communities nationwide.

Basic Qualifications

• Bachelor's degree and at least 2 years of experience in data engineering; OR Graduate Degree in a technical discipline.
• Advanced knowledge of SQL
• Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.
• Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
• Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

• Experience with REST API development
• Experience with Azure application deployment
• Experience in Azure technologies like Azure Data Factory, Azure Databricks using Python or Scala, App Services, Azure Data Lake, Azure Functions, Event Hubs, Event Grids and Logic App
• Experience in building Azure DevOPS pipelines to enable CI/CD, Infrastructure as Code (Iaas), and automation.