The Data Engineer will join an analytics team responsible for designing and implementing a critical platform and reporting infrastructure. You will develop and support analytic technologies, work with business customers in understanding business requirements, and implement solutions to support analytical and reporting needs. You will be responsible for developing pipelines, data modeling, integration, and code deployment.
A successful candidate will have:
3+ years of relevant work experience in Big Data engineering, ETL pipeline development, Data Modeling, and Data Architecture
3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets
2+ years of AWS experience
Experience with coding languages like Python/Java/Scala
Excellent written and spoken communication skills
A good candidate has strong analytical skills and enjoys working with large complex data sets
Proficiency in the DevOps style of software deployment (infrastructure-as-code)
Proficiency with AWS database/ETL tools including Lambda, Glue, Redshift, DynamoDB
Proficiency with AWS technologies including SNS, SQS, SES, Route 53, Cloudwatch, VPC
Data Engineer II
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About Advantis Global, Inc.
Whether you are considering your next career move, or you are responsible for hiring at your company, our sole purpose is to get talented people connected to opportunities at a wide variety of clients, from tech startups to enterprise market leaders, some of which are the most recognized and admired brands in the world.
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Your gender, your beliefs, your preferences, your skin color, or your bigshot friend make no difference to us. Advantis Global is a progressive and open-minded collective. If you’re smart, optimistic, and care about being awesome at what you do, come as you are. We welcome you with open arms!