Job Description
Our client is a leader in automating and accelerating the data science workflow. They are expanding their Customer Success team with a Data Solution Engineer who must be a fast thinker and a great communicator. This is a customer-facing but home-office based role based in the Northeast.
Requirements
3-5 years of experience with Python / Scala / Java / GO Coding
2+ years of experience building solutions with the Big Data tools and frameworks such as Spark, Hadoop, Cassandra, NoSQL, etc
Experience working with external clients as PS engineer/customer engagement and great communication skills
Experience with Cloud-Native and Cloud Data Services such as GCP, Azure or AWS (DynamoDB, Kinesis, EMR or RedShift) – advantage
Experience with Docker, Kubernetes and serverless computing and architecture – an advantage
Experience working closely with Data scientists – big advantage
Experience working on Data science tasks and/or data science training / courses – big advantage
Responsibilities
Engage directly with customers on data science automation at scale including data pipeline acceleration and optimization
Work closely with Data scientists and take part in data science tasks
Work directly with team of Solution Architect, Sales, Product Management and R&D, feeding requirements and priorities