Integration Engineer - Overland Park, KS
Watco Companies L.L.C.
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Start a Watco Career and Discover the Difference
Keep the world’s supply chain moving. That’s what the Watco team does every day at our short line railroads, switching sites, terminals, ports, and logistics hubs. Whether you’re at one of these locations or in a support-services role, there’s one thread that ties everyone together. We’re all on the same team. One Watco.
Here’s what you can expect from Watco:
+ Award-winning culture recognized by Forbes and Newsweek
+ Competitive compensation and benefits
+ Paid on-the-job training with peer trainers
+ Leadership and development programs offered through Watco University
+ Career advancement opportunities
The Integration Engineer will automate the transformation and transport of data between multiple applications including our new data lake, and support analytics for multiple transportation businesses at a fast-growing company.
Minimum Qualifications
+ Technical degree or non-technical degree with relevant experience
+ 5+ years SQL development and Data Integration experience with any tools
+ Experience with Relational and Non-Relational Databases
+ Excellent Critical Thinking and Problem-Solving Abilities
Preferred Qualifications
+ Experience with Microsoft SQL Databases and NoSQL Databases including structured and unstructured data
+ Experience with Python and/or PySpark
+ Experience with Data Integration and ETL Pipelines
+ Familiarity with Azure Data Factory
+ Familiarity with Azure Storage
+ Familiarity with Databricks
+ Familiarity with Visual Studio and Visual Studio Code
+ Familiarity with SOAP and RESTful web services
Responsibilities
+ Build large, complex data set pipelines conforming to existing architecture
+ Work alongside data developers, data engineers, reporting analysts, data scientists, and database administrators
+ Work alongside non-technical team members gathering, analyzing, translating, and implementing solutions based on business requirements
+ Choosing and applying design patterns and implementing best practices
+ Researching and learning new data integration technologies
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