Walgreens
Job Summary:
Builds & maintains big data pipelines to support advanced analytics and data science solutions. Identifies valuable internal and external data. Collaborates closely with data scientists to define data for the design, development, and deployment of new solutions that support business priorities.
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 Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Minimum Requirements:
Bachelor's degree and at least 2 years of experience in data engineering; 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).
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Builds & maintains big data pipelines to support advanced analytics and data science solutions. Identifies valuable internal and external data. Collaborates closely with data scientists to define data for the design, development, and deployment of new solutions that support business priorities.
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 Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Minimum Requirements:
Bachelor's degree and at least 2 years of experience in data engineering; 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).
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