Senior AWS Data Engineer - REMOTE
Location: Basel
Sektoren Cloud
Anstellungsart Temporär
Gehalt Negotiable
Reference: BBBH144904
Senior AWS Data Engineer
General Information:
- Start date: 01.11.2021
- End date: 28.02.22
- Extension: planned (based on performance)
- Work location: Basel
- Workload: 100%
- Home Office: Fully remote acceptable
Only candidates with an EU Citizenship or a valid Swiss work permit will be considered for this position
Tasks & Responsibilities:
- Ability to work within an Agile Scrum Team to perform specific development and configuration tasks according to Jira based User Stories / Functional Specifications
- Collaborate with the Tech Lead and Business Analyst to define Functional Specification and implement (code or configure) solution based on Functional Specifications
- Actively participate in all Agile Ceremonies (Sprint Planning, Story Estimations, Retrospectives, Daily Scrums, etc.)
- Translate an architecture design into a functional solution
- Document Technical & Design Specifications
Must Haves:
- 5 + years experience in Cloud (Platform) Data Engineering
- Certified and proficient in Agile ways of working with cross-functional teams
- AWS Developer Certification with extensive hands-on experience with core AWS services such as Glue/Glue Studio, S3, Lambda, SageMaker, DynamoDB, Athena, Redshift, RDS, Step Functions, CloudWatch, EC2, SNS, SQS, etc.
- Experience in building AWS based data ingestion, processing and analytics pipelines
- Substantial knowledge of 'infrastructure as code' and in particular with Terraform and AWS CLI
- CI/CD systems (preferably GitLab and Jenkins) experience, including configuration management and automation tools (preferably Ansible and Puppet)
- Hands-on experience with Python coding and Bash shell scripting
Nice to haves:
- Experience or in the life sciences/ pharma industry
- Knowledge of Service Orchestration using Kubernetes and/or EKS
- Knowledge of various databases, both SQL, and NoSQL
- AWS CloudFormation knowledge
- Experience with Snowflake
- Knowledge of more specialized languages such as 'R'
- Experience with troubleshooting performance bottlenecks, considering both Linux, as well as Cloud Native environments
- Knowledge of IP networking, VPN's, DNS, load balancing and firewall.
- Experience collaborating on code base with Git & experience with the Git branching strategies
- Experience liaising with Data Scientist and DevOps team along the technological stacks typical for their domain
- Knowledge of Computer System Validation
- Familiar with data visualization tools such as Tableau and Spotfire.