AWS Python/Pyspark Developer Position type : Contract/Fulltime ( Remote until Covid )
Job Description · Should have at least 10+ years of experience · 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 models · Designing API layer using tools like Apigee, AWS API Gateway, API Security, API Framework,etc · Strong Knowledge in a PySpark/EMR environment · Proficiency 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
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