Vacancy expired!
Top Skills1) AWS EMR (Architecture and configuring)2) Python and PySpark3) Building Microservices4) API Tools, Apigee, AWS API Gateway, API Security, API Framework,etc5) SQL/Data
Will be guiding and mentoring and working much like a Tech LeadSAS programming not required but most be able to "run" SAS code to be able to get data and results to compare once migrated to AWS cloud Desktop as a ServiceHope all Credit Expense forecast team is looking for a PySpark developer on EMR/AWS to migrate SAS models into AWS. Job Description and Skill Set:Work with business and technical leads on the Transformation of critical Credit Risk Forecasting applications to Microservices AWS EMR Architecture leveraging PySpark.Provide guidance on Application Architecture, design and implementation for forecast process for credit loss and home price for Fortune 100 client. Work with, lead and mentor the business and technology teams. Build a solution based on cloud, microservices API's. Decompose legacy monolithic systems into Microservices and API's Running in the cloud.The lead developer is expected to be hands on with converting SAS Code to PySpark ensuring quality and maintainability. Well versed in EMR PySpark Performance tuning leverage EMR Architecture (Master, Cluster, memory utilization etc)Understanding of AWS computing and data architecture to create a sound and high performing implementation for Credit Expense Forecasting Process.Experience with Parallel programming with Big Data, ETL, and forecasting modelsDesigning API layer using tools like Apigee, AWS API Gateway, API Security, API Framework,etcAt least 5+ years of experience working in a PySpark/EMR environmentProficiency with one or more programming languages (Java, Python, PySpark preferred)Proficiency in SQL, relational and non-relational databases, query optimization, and data modeling.Experience working in a Linux-based environment.Experience working on teams operating under an Agile Scrum delivery methodology Vacancy expired!
