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Job Description
Responsibilities :
Design and Development of cloud-based microservices to collect dataDesign and Development of REST API to serve Data as a ServiceDesign and Development of Data Quality framework to enable automated data quality checks across data pipelinesResponsible for developing and maintaining CI/CD pipelinesMaintain and stabilize existing data pipelines and infrastructure to provide timely, quality and accurate dataAnalysis, Performance Improvement, Development, Deployment and Contribute to overall product requirementsPerform code review and develop best coding practicesIndulge in brainstorming sessions to help team gain technical knowledge and grow equallyDefine release process improvements along with management of pipeline changesCollaborate with peer teams and support each other’s on deliverablesQualification
Bachelor’s or Master’s degree in Computer Science or equivalent industry technical skills8+ years of professional development experienceIn-depth knowledge on strong experience in Python programming language and should be an expert Object Oriented ProgrammingStrong experience in AWS service - EC2, ECS, Lambda, Step Function, S3, SQS preferred.
Experience in other AWS services are added advantageExpertise in both SQL and NoSQL databases.
Experience in Postgres, Redshift, MongoDB and DynamoDB are preferredExperience in Linux and Shell scripting preferredExperience in Docker, Kubernetes, or MicroService preferredExperience in Airflow and Jenkins preferredExperience in FAST API, Flask Framework, SQLalchemy are preferredExpertise in version control tools Git, Bitbucket preferredExperience in creating and implementing a strong data quality system that checks data accuracy at every step, backed by thorough monitoring and observability features
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Guidewire is actively hiring for this Senior Data Platform Engineer (Python and SQL programming) position
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