Job Summary

Barnes & Noble is the world's largest retail bookseller and the leading retailer of content, digital media and educational products. We operate over 600 Barnes & Noble bookstores in 50 states and one of the web's premier e-commerce sites, bn.com. Our Nook Digital business offers a lineup of popular NOOK® tablets and eReaders and an expansive collection of digital reading content through the NOOK® store.

We're proud to be an industry leader, consistently recognized for excellence in quality and customer service in our stores and online at bn.com.

The Azure Developer position is responsible for ensuring optimal data delivery architecture is consistent throughout ongoing projects. The role requires solid technical skills in Azure Data Factory data pipeline utilizing Azure Databricks Notebooks and SQL Stored procedure. This role will be focused on expanding and optimizing our data and data pipeline architecture. You can expect to spend roughly 50% of your time dedicated to creating new pipelines that involve ADF, Databricks Notebooks, and Synapse Stored Procedure, the remaining 30% in Optimizing the existing workflows, and the remaining 20% on support production jobs every day. The Business Intelligence team focuses on building enterprise level business intelligence platforms, migrating and upgrading the legacy systems to support our business intelligence reporting and analytics. We work closely with the merchandise and financial analysts on reporting and analytics needs.

An employee in this position can expect a starting rate between $120,000 - $130,000 annually, depending on experience, seniority, geographic locations, and other factors permitted by law.

What You Do

• Create and maintain optimal Azure Data Factory data pipeline utilizing Azure Databricks Notebooks• Develop Azure Databricks notebooks for transformation using PySpark, and SparkSQL in Lakehouse architecture. • Manage end-to-end delivery by investigating problem areas and working cross-functionally with product manager & other stakeholders. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, optimal cost, and performance. • Design the right infrastructure/compute configuration for optimal extraction, transformation, and loading of data from a wide variety of data sources into ADLS, Databricks, and Synapse. • Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. The data pipelines must be created, maintained, and optimized as workloads move from development to production for specific use cases. • Drive optimization, testing, and tooling to improve the quality of solutions.

Knowledge & Experience

• Experience handling large and complex sets of data from various sources and databases.• Solid understanding of concepts of data warehouses and programming. • Proven hands-on Experience creating pipelines and workflow utilizing Azure Data Factory, Azure Databricks, and Synapse • Experience with writing complex SQL Queries, User Defined Functions, Stored procedures, and Materialized views. • Experience supporting on-call business-critical production systems.• 5+ years of experience in a Data Engineering environment with hands-on experience developing ADF (Azure Data Factory) and Azure Databricks pipelines for an enterprise solution. • 5+ years of experience in writing code in Databricks using Python to transform, and manipulate (ETL/ELT) data, along with managing objects in Notebooks, Data Lake, ADLS, and Azure Synapse. • Minimum of 2 years' experience working in a large Retail enterprise and understanding of Retail-based data and reporting models. • Must actively participate in 24x7 SRE on-call rotations and escalation workflows. • Must be available for East Coast hours of operation.

EEO Statement

As an Affirmative Action Employer, Barnes & Noble hires qualified people to perform the many tasks necessary for the success of our business and is committed to diversity in the workplace. An essential part of this policy is providing equal employment opportunity for all. All employment practices and decisions-including those involving application procedures, recruitment or recruitment advertising, hiring, placement, job assignment, transfer, promotion, demotion, training, rates of pay or other forms of compensation, benefits, discipline, leave of absence, layoff, recall, termination and general treatment during employment-will be conducted without regard to self-identified, perceived or actual age, race, color, ancestry, national origin, citizenship status, military or veteran status, religion, creed, disability, sex, sexual orientation, marital status, medical condition as defined by applicable law, genetic information, gender, gender identity, gender expression (including transgender status), hairstyle, height and/or weight, pregnancy, childbirth and related medical conditions, reproductive health decisions, or any other self-identified, perceived or actual characteristic protected by applicable federal, state, or local laws and ordinances.

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