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Senior Cloud Data Architect
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Data Engineer Position
Key Responsibilities:We are looking for a skilled Data Engineer to design, build, and maintain optimal data pipeline architecture in a cloud-native environment. Key responsibilities include assembling large and complex data sets that align with business and technical requirements.
- Design and Implementation: Develop CI/CD pipelines, primarily using GitLab and DataOps practices, and model and implement data transformations using dbt (Data Build Tool) with scripting and algorithmic logic.
- Automation and Streamlining: Automate and streamline operations using Python, Bash, Docker, and GitLab.
- ETL Solutions: Build and maintain ETL solutions using AWS services (e.g., S3, Glue, RDS, Lambda, Fargate, Step Functions).
- Data Security and Governance: Ensure data security and separation across international boundaries and AWS regions.
- Collaboration and Communication: Collaborate with stakeholders across Executive, Product, Data, and Design teams to support data infrastructure needs.
To succeed in this role, you will need strong skills in:
- SQL
- ETL
- Data modeling
- Snowflake
- dbt
- GitLab
- Python
- AWS
- Docker
- Scripting language (Bash)
- Glue
- AWS Lambda
- AWS Fargate
- AWS S3
- Amazon RDS
- Security
- Cloud
This position offers a range of benefits, including sport subscription, training budget, and private healthcare.
International Opportunities:This role also presents opportunities for international projects and collaborations.