About

Bloomingdale’s makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale’s like no other store in the world. Everyone plays a critical role to bring our mission to life. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative. We welcome and embrace diversity of background, thought and opinion while having a lot of fun along the way.

Job Overview

The Data Engineer works with technology partners and deliver, cutting edge data systems that supports the Business Intelligence and Analytics functions within Marketing to maximize sales and drive customer loyalty. The Data Engineer will be responsible for integrating and automating data flows, designing and building data marts and managing big data systems, working with diverse on-premise systems and the Azure cloud. The Data Engineer will also be responsible for working with a wide variety of Bloomingdale’s colleagues and external vendors on data requirements to support strategic business needs.

Essential Functions

Integrate data from multiple databases across different platforms such as Oracle, SQL Server, Teradata and Hadoop to integrate data and build a data lake and analytical data marts
Work with the Lead Data Architect to determine high level data strategy for the Enterprise Data Warehouse within a Microsoft Azure environment. Work extensively with Azure Data Warehouse MPP database platform
Create logical and physical data models for operational applications and all analytic applications
Participate in ETL design and act as the subject matter expert on source and target data structures
Work with various outside vendors and internal support teams in maintaining and/or enhancing processes and data integrations
Support business by generating ad-hoc analysis, using SQL, for overall business as needed
Perform extensive data quality and data analysis checks to ensure integrity of database for business use
Work with business partners on the full lifecycle of data related projects from requirements analysis and design through development
Maintain and manage scheduling and distribution of reporting
Manage and monitor server processes and jobs for on-premise and Azure cloud environments
Investigate and resolve root cause for complex data issues
Script and automate processes
Diagram and document databases and data flows

Qualifications And Competencies

We encourage candidates with either a bachelor’s degree or equivalent work experience in a related field to apply
3-5 years direct experience
Knowledge of data warehousing methodologies. Experience with ETL tools. Microsoft SSIS preferred. Azure Data Factory nice to have. Experience with enterprise reporting tools. Business Objects, Microsoft SSRS, Power BI or Tableau preferred
Familiarity with a programming/scripting language such as Java, .Net, PowerShell or Python.
Experience with Hadoop, Spark, Hive experience preferred
Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner
Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels
Ability to think creatively, strategically and technically
Ability to work a flexible schedule based on department and Company needs

This job description is not all inclusive; additionally, Macy’s, Inc. reserves the right to amend this job description at any time. Macy’s, Inc. – including Macy’s, Bloomingdale’s, and Bluemercury – is an equal opportunity employer, committed to a diverse and inclusive work environment.

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This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Additional benefit details are available at bloomingdalesJOBS.com.

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Data Engineer (Remote Opportunity)

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