Job Description :
What you’ll do:

Work with the team to architect, design, and develop high powered data solutions.
Work with customers to design schemas and processes to leverage the power of Code North America’s powerful platforms to extend its value
What you’re like:

Knowledgeable in querying data stored using a broad range of data modeling techniques including third normal form, dimensional, and data vault modeling on Microsoft SQL Server-based technologies.
Passionate about optimizing data access patterns to improve performance and scalability
Enjoys bringing years of real-world experience to bear on new projects
A strong, team player looking to work on challenging projects with large volumes of data
Well versed in data normalization practices and when to apply each form
What you’ve got:

3+ years in strong and extensive hands on Experience with Azure cloud big data architecture
Experience with Azure Data Lake, Azure SQL Data Warehouse, Data Catalog, Azure Analysis Services
Hands on experience with Azure HDInsight/Spark/Eventhub, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, Virtual Network, Redis, Azure App Service, Azure Cosmos DB - “Cosmos”
Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR
Experience designing and building cloud native applications as well as Azure Cloud migration experience.
MUST have strong Hands on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, data warehouse and big data.
Experience with Azure IaaS and PaaS services.
Hands on experience with data virtualization technologies: CIS (Tibco) and Denodo
Project experience using Azure cloud, data lake storage, installation, security and infrastructure (IaaS) set up
Experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, avro, parquet, copybook, etc
Performance tune complex ETL mappings for relational and non-relational workloads
Advanced SQL programming, PL/SQL or T-SQL
Willingness to be part of the 24/7 on-call rotation to support the consumer data platform. (Maybe one week day out of the month for FTE)
Retail and/or consumer technology experience preferred.