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
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