Senior Data Engineer
7 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 togetherImplement 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 systemsS. or higher in Computer Science or equivalent training and experienceFamiliarity with one or more of the public clouds like AWS, GCP or Azure.Familiarity with Python, Java, Spark, Ruby and/or Node.jsExperience with source control. Github is preferred.Experience with Linux and cloud-based environmentsFamiliarity with Infrastructure as Code such as Terraform or CloudFormationAbility 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 experienceAmazon Web Services (AWS) experience with EC2, ECS and S3Infrastructure 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 circlesAWS networking such as VPC and security groupsAWS Analytics such as Athena, Glue, Sagemaker, KinesisHere is what you will be working withPythonjs ES6RubyJava, ScalaHBase/EMR clusters, Riak, Redis/Elasticache, MySQLAWS ServicesThousands of servers-
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