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Company:

Tribe

Place:

Purchasing

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Details of the offer

About the Role:
Joining Quanitful’s high-performing team, you will utilise your strong Data Engineering skills in a number of upcoming projects for clients in a variety of industries.
You will get the chance to join a team who aren’t afraid to question, test new ideas and try new things. With a modern tech stack, you will continuously develop your skillset and make decisions.
About You:
Passionate about data and automation
Extensive knowledge of the Docker platform, containerised workflows and deployment. This implies good knowledge of UNIX-based systems as well.
Extensive knowledge of Python 3 and Bash (or shell scripting in general)
Experience working with AWS services: S3, ECS (Fargate), ECR, EC2, CloudFormation, SQS (or Batch), IAM
Experience working with ETL pipelines (Airflow, Glue) or Data Warehousing, or building Data Lakes, or database administration, etc.
GIt and GitHub
Strong analytical and problem solving skills
Strong communication skills; both written and verbal
Strong time management and prioritization skills
Proven track record of deploying data science outputs
Desirables
R
Apache Airflow
Postgres
React
About the Company:
Quantiful are a small tech startup who are true market leaders! Using AI technology they have developed the first consumer led forecast product which is revolutionizing supply chain planning.
Watch the below video of how they are transforming what is possible!
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Apply Now!
Or to find out more, please get in touch with Emma Hart by email at ********** for a confidential chat.