Job Title - Machine Learning Engineer / AI Engineer
Duration- 8 Months Contract
Location- Minneapolis, MN
Can you please provide a summary of the project / initiatives which describes what’s being done?
UD : This resource will be supporting Broker Dealer Non-Financial conversion with data engineering responsibilities using technology like PySpark, Python, SQL, SQl Server, Data Modelling, Data Analysis, Data Design and documentation etc.,
- What are the top 5-10 responsibilities for this position? (Please be detailed as to what the candidate is expected to do or complete on a daily basis)
UD :
Responsible for designing, developing, testing, operating and maintaining productsTakes full stack ownership by consistently writing production-ready and testable codeConsistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems / contexts affected when defining technical designsPerforms analysis on failures, propose design changes, and encourage operational improvementsMakes sound design / coding decisions keeping customer experience in the forefrontTakes feedback from code review and apply changes to meet standardsConducts code reviews to provide guidance on engineering best practices and compliance with development proceduresAccountable for ensuring all aspects of product development follow compliance and security best practicesExhibits relentless focus in software reliability engineering standards embedded into development standardsEmbraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformationContributes to a culture of innovation, collaboration and continuous improvementReviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalationWhat skills / technologies are required (please include the number of years of experience required)?UD : Senior Azure Data Engineer & Test Engineer, Responsible for data engineering / ingestion, testing Data Pipelines, build frameworks using tech stack PySpark, ADF, Synapse, Azure Data Lake, Sql Server, DevOps etc. Good to have Kubernetes, Azure Service Fabric, Delta Lake, Informatica, SSIS, Sql Server etc.,
Should be ready to pitch in for Data Analysis and provide Solution architecture on demand. Should document all the work and provide pipeline demo, UAT support and Production deployment.
What skills / attributes are preferred (these are a desired, not required)?UD : Quality Engineering
What does the interview process look like?o How many rounds? UD : 1 round
o Video, phone, or in person? Video
o How technical will the interviews be? Very technical
This resource will be supporting Broker Dealer Non-Financial conversion with data engineering responsibilities using technology like PySpark, Python, SQL, SQl Server, Data Modelling, Data Analysis, Data Design and documentation etc.,
What are the top 5-10 responsibilities for this position? (Please be detailed as to what the candidate is expected to do or complete on a daily basis)Responsible for designing, developing, testing, operating and maintaining productsTakes full stack ownership by consistently writing production-ready and testable codeConsistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems / contexts affected when defining technical designsPerforms analysis on failures, propose design changes, and encourage operational improvementsMakes sound design / coding decisions keeping customer experience in the forefrontTakes feedback from code review and apply changes to meet standardsConducts code reviews to provide guidance on engineering best practices and compliance with development proceduresAccountable for ensuring all aspects of product development follow compliance and security best practicesExhibits relentless focus in software reliability engineering standards embedded into development standardsEmbraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformationContributes to a culture of innovation, collaboration and continuous improvementReviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalationWhat skills / technologies are required (please include the number of years of experience required)?
Senior Azure Data Engineer & Test Engineer, Responsible for data engineering / ingestion, testing Data Pipelines, build frameworks using tech stack PySpark, ADF, Synapse, Azure Data Lake, Sql Server, DevOps etc. Good to have Kubernetes, Azure Service Fabric, Delta Lake, Informatica, SSIS, Sql Server etc.,
Should be ready to pitch in for Data Analysis and provide Solution architecture on demand. Should document all the work and provide pipeline demo, UAT support and Production deployment.
