URGGENT RI\OLE;;Data Engineer at Remote, Remote, USA |
Email: [email protected] |
From: janhavi singh, TEK INSPIRATIONS [email protected] Reply to: [email protected] Hi, Hope you are doing great. Please let me know if you find the new below position as well Title:Data Engineer Location:Remote-(Must havecandidates from these locationsPhoenix metro, San Fran Bay area, Chicago, Tri-state NYC metro area(NY, NJ, CT)) Duration: 6 Months CTH MOI: Phone then Video Client: EWS if someone has 7-10 years of experience would look at that candidate; candidate should be strong inSpark (must),Scala, Hadoop, Kafka skills would be helpful as well. Minimum Qualifications: Education and/or experience typically obtained through a Bachelors degree in computer science or related technical field. Twelve or more years of relevant related experience. Nine or more years of experience in the development of complex database management systems, Business Intelligence solution, AI/ML Model development & Oprationization (includes feature engineering, model optimization, model operationization), distributed systems, SaaS, cloud solutions, micro services. Hands-on Docker experience. Two or more years of experience in the development of end to end data management platforms data modeling, data goveranace, BI Reporting, AI/ML model life cycle management. Five or more yearsof work experience with ETL development (using Ab Initio, Talend, Informatica or other industry proven tools), BI Reporting design & development (using Tableu or Business Objects or Griffana or other industry tools). One or more yearsML Development (using Python, PySpark, Spark), ML Model development framework (using PyCharm, SciKit, Sage Maker, Tensorflow). Demonstrated experience in delivering business-critical systems to the market. Ability to influence and work in a collaborative team environment across multiple departments. Experience designing/developing scalable systems. Experience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc). Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc). Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc). Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices. Background and drug screen. Preferred Qualifications: Big Data Platforms (Cloudera, S3) Database platforms (Oracle, SQL Server) Strong computer language experience (Python, Spark, and/or Scala) Knowledge of Aerospike, Scality S3, Elastic Search Monitoring and Alerting systems experience (AppDynamics) Knowledge of ACH/EFT Knowledge of real time payment networks (RTP, FedNow) FinTech experience Kubernetes experience JanHaviSingh Technical Recruiter Desk: 4694980815 Email:[email protected] |
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Sat Oct 15 23:19:00 UTC 2022 |