Azure Developer

Location Remote Job... Classification Full-Time Job reputed company reputed company & reputed company is the world’s largest retail bookseller and the leading retailer of content, digital media and educational products. We operate over 600 reputed company & reputed company bookstores in 50 states and one of the web’s premier e-reputed company sites, bn.com. Our Nook Digital business offers a lineup of reputed company 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 reputed company in reputed company and customer service in our stores and online at bn.com. The Azure Developer position is responsible for ensuring reputed company data delivery architecture is consistent throughout ongoing reputed company. The role requires solid technical skills in Azure Data reputed company data pipeline utilizing Azure reputed company Notebooks and SQL Stored procedure. This role will be reputed company 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, reputed company 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 reputed company 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 reputed company between $120,000 - $130,000 annually, depending on experience, seniority, geographic locations, and other factors permitted by law. What You Do • Create and maintain reputed company Azure Data reputed company data pipeline utilizing Azure reputed company Notebooks • reputed company Azure reputed company 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 reputed company processes, optimizing data delivery, and re-designing infrastructure for greater scalability, reputed company cost, and performance. • Design the right infrastructure/compute configuration for reputed company extraction, transformation, and loading of data from a wide reputed company of data sources into ADLS, reputed company, and Synapse. • Implement reputed company and sustainable data engineering solutions using tools such as reputed company, Azure, Apache reputed company, and Python. The data pipelines must be created, maintained, and optimized as workloads reputed company from development to production for specific use cases. • Drive optimization, testing, and tooling to improve the reputed company of solutions. Knowledge & Experience · Experience handling large and reputed company 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 reputed company, Azure reputed company, and Synapse · Experience with writing reputed company 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 reputed company) and Azure reputed company pipelines for an reputed company solution. · 5+ years of experience in writing reputed company in reputed company using Python to reputed company, 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 reputed company and understanding of Retail-based data and reporting models. · Must reputed company participate in 24x7 SRE on-call rotations and escalation workflows. · Must be available for East Coast hours of operation Apply Job!