Senior Data Engineer at 10th Magnitude

| Chicago
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10th Magnitude is a technology services firm helping businesses achieve transformation through cloud technologies. We are market leaders in leveraging the power Microsoft Azure to accelerate innovation speed, operational agility and customer responsiveness for clients around the globe. As one of the top Microsoft Azure partners in the US we specialize in Azure Migration, Cloud-Scale Custom Application Development, Internet of Things, Analytics and DevOps achieved through Azure-Enabled Infrastructure Automation. A member of the Microsoft Azure Partner Advisory Council and a Gold Cloud Platform Microsoft partner, 10th Magnitude is headquartered in Chicago and rapidly expanding across the central US.

Job Description: 
The Senior Data Engineer works within a team and drives high priority customer initiatives on Azure in collaboration with customers and the Microsoft field focused on Data information management and Analytics in the cloud. As the Senior Data Engineer, you will drive high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by 10th Magnitude's enterprise customers. This a customer facing role, accountable for the end-to-end customer deployment and usage for solutions focused around Azure data services.  

The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives and will also be able to be hands-on to show the depth of their experience and expertise. 

What you will be doing:  

  • Deliver scalable data processing and analytics solutions, including technical feasibility and proposal development for Big Data storage, processing and consumption (e.g., development of enterprise Data Lake strategy, heterogeneous data management, Polyglot Persistence, decision support/BI over Data Lake)  
  • Partnering with our clients to educate and influence them by selecting the right data platform 
  • Document and share technical best practices / insights with Engineering teams and the solution architect community  

Experience Required:  

  • 5+ years of experience with deep understanding in relational databases (e.g., SQL Server, MySQL, Oracle) and Data warehousing 
  • 3+ years of big data (Hadoop, Hive, Spark, DataBricks
  • 3+ years of architecting Lambda or Kappa solutions  
  • 3+ years of success as a consultant delivering complex data solutions 
  • 2+ years in cloud development (Azure, AWS, GCP, etc)  
  • 2+ years of Visualizations (Power BI, Tableau etc) 
  • 2+ years of Machine Learning and AI  
  • Knowledge of real time/stream analytics solutions for Enterprises 
  • Problem-solving mentality leveraging internal and/or external resources 
  • Exceptional verbal and written communication 
  • Oversight experience on major transformation projects and successful transitions to implementation support teams 
  • Presentation skills with a high degree of comfort with both large and small audience  

Preferred Experience (but not required):  

  • Real world experience using Python (Client side and server side, devises and data processing/machine learning) 
  • Experience using R; experience with Marketing or Risk analytics solutions for Enterprises 
  • Azure Specific Data Services: Machine Learning Studio, Stream Analytics, Data Factory, Event/IoT Hubs, and Cosmo
  • Experience with 3rd Party IaaS and PaaS Services such as: SnowFlake, MemSQL, Confluent stack, Apache druid, Delta Lake 
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