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Business Intelligence Data Engineer
Company | Barnes & Noble |
Address | , New York, 10003, Ny |
Employment type | FULL_TIME |
Salary | $140,000 - $160,000 a year |
Expires | 2023-10-03 |
Posted at | 9 months ago |
Category: Information Systems & Technology
EmploymentType: Full-Time
Location: NY-New York (Union Square)
LocationType: corporate
JobLocation: New York, New York 10003
JobSummary: The Business Intelligence Data Engineer will be a key member of the Barnes & Noble IT organization. The Business Intelligence Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, support cross functional teams in generating timely insights. The ideal candidate is a data specialist experienced in designing, developing, and deploying complex data pipelines in Azure Cloud platform
The Business Intelligence Data Engineer will support our software developers, database architects, data analysts, dashboard developers and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The role requires solid technical skills in designing and delivering large-scale enterprise data platforms on Azure Cloud combined with very strong communication skills.
An employee in this position can expect an annual starting rate between $140,000 and $160,000, depending on experience, seniority, geographic locations, and other factors permitted by law.
- Discover current technical standards and best practices (R&D).
- Participate in 24x7 on call rotations.
- Manage consultants to ensure compliance with Barnes & Noble engineering and business standards.
- Deploy new solutions and configurations to meet business and compliance requirements.
- Deploy security patches, updates, and configuration changes.
- 5+ years of experience in a Data Engineering environment with hands on experience developing ADF (Azure Data Factory) pipelines for an enterprise solution.
- Develop data pipelines using PySpark, Python and DB SQL in Databricks in Lakehouse architecture
- Experience using the following software/tools/services: Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, SQL, PySpark
- Experience with writing complex SQL Queries, User Defined Function, Stored procedures and Materialized views. Someone who comes from database development background and have transitioned to Azure Cloud/Data Lake/Synapse.
- 3+ years of experience in writing code in Databricks using Python to transform, manipulate (ETL/ELT) data, along with managing objects in Notebooks, Data Lake, ADLS, Azure Synapse.
- Working experience with Azure DevOps and Source controls.
- Work with multiple business stakeholders in defining the right data requirements to fulfill growing analytics / insights needs across the enterprise
- Experience with reporting tools like PowerBI/Tableau/MicroStrategy
- Design right infrastructure / compute configuration for optimal extraction, transformation, and loading of data from a wide variety of data sources into ADLS, Databricks and Synapse.
- Create and maintain optimal data pipeline architecture
- Strong project management and organizational skills
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience working in a large Retail enterprise and understanding of Retail based data and reporting models.
- Strong analytic skills related to working with different types of datasets from wide variety of data sources
- Experience with relational SQL and NoSQL databases
- Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, optimal cost and performance.
- Experience with data pipeline and workflow management tools
- Understanding of ELT and ETL patterns and when to use each.
EeoStatement: Barnes & Noble is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to 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, hairstyle, pregnancy, childbirth and related medical conditions, reproductive health decisions, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
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