Description
Data Engineer Analytics (AWS, API, Bash, Webpack, CI/CD) - Remote and Stockholm, Sweden
One of our Blue Chip Clients is urgently looking for a Data Engineer Analytics.
For this role you can work remotely, once the COVID restrictions have been lifted you may need to spend some time onsite in Stockholm, Sweden.
Please find some details below:
Background Information:
Data Engineer for Team Analytics and Automation
Content and scope of the assignment:
You will be working as a developer/data engineer within the Analytics & Automation team. Your responsibilities range from preparing, analysing, developing, massaging large amounts of data in varying structure, flows and complexities and create insights that contribute to the customer Strategy Solution and Analytics & Automation Center of Excellence.
Description of the assignment in more detail:
You will be a designer and implementer of key metrics and analytics for various products and services at the customer. These metrics will be used to understand and drive efficient sales and operation customer success and best practices. Business decisions will be made from insights gained through the intelligent analysis of data. You will help in day-to-day tasks by developing data pipelines with sound knowledge and hands-on experience in AWS stack. Furthermore, you will take on ETL related tasks when procuring new data sources and help product owner, data scientist and business stakeholder with data prep and exploration activity. At time, you will be expected to work with multiple use case running in parallel, so context switching is a constant.
Results (what you want to achieve, delivery requirements)
Develop and maintain a data lake within AWS framework. We have created an automated, scalable flow of ingesting vast amount of data and provide flexibility in how data is consumed and produced.
Collaboration with Data Science forum, work with Center of Excellence initiatives together with business stakeholders, develop PoC's/MVP's/do a feasibility study and also working with ML-initiatives within the organization
Many other data crunching use cases for internal stakeholders and customers
Education/experience/seniority level
Qualifications for the intended assignment:
Bachelor/Master Degree in Engineering/Science
Required Skills:
AWS (Lambda, Cloudwatch, Cloudformation, SQS, S3, Athena, Glue, Kinesis, Aurora, Dynamo etc...)
Serverless development and Infrastructure as code
Familiarity with ETL-processes and data pipelines
Event-driven architecture
Javascript/TypeScript/Node.JS/JSON
ElasticSearch, Kibana
SQL
Git experience
Data driven mindset
Skill Requirements - Compulsory
React
API Development
Knowledge and understanding the Data security & governance
Bash Scripting
Webpack
CI/CD Pipelines
Knowledge in Business Intelligence tool
Language Skills
English
Swedish - Good to have
Seniority/experience level/education:
Minimum 3 years experience in above tech stack
Please send CV for full details and immediate interviews. We are a preferred supplier to the client.