Senior Data Engineer
2 months ago
Experience:- 4 to 8 years
Description:
Build, maintain, and support large-scale collections and processing systems. Be part of a Scrum team that designs, swarms, and pairs together Implement and improve deployment, monitoring, testing, operational and foundational tools. Be an excellent problem solver and be willing to roll up sleeves to tackle any issue thrown your wayExperience We Want to See:
Some hands on experience with large-scale distributed systems S. or higher in Computer Science or equivalent training and experience Familiarity with one or more of the public clouds like AWS, GCP or Azure. Familiarity with Python, Java, Spark, Ruby and/or Node.js Experience with source control. Github is preferred. Experience with Linux and cloud-based environments Familiarity with Infrastructure as Code such as Terraform or CloudFormation Ability to communicate with management, software architects, and developers about project status, APIs and overall systemhealth. Working knowledge of modern web technologies including cloud based APIs and protocols (REST, JSON)Nice to Have:
Data Science background or experience Amazon Web Services (AWS) experience with EC2, ECS and S3 Infrastructure as code provisioning tools such as Terraform/CloudFormation, etc. Participation in a technical community is a major plus: e.g., contributions to open-source projects, published works, presentations in academic conferences or industry circles AWS networking such as VPC and security groups AWS Analytics such as Athena, Glue, Sagemaker, Kinesis Here is what you will be working with Python js ES6 Ruby Java, Scala HBase/EMR clusters, Riak, Redis/Elasticache, MySQL AWS Services Thousands of servers-
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