Data Engineer
2 weeks ago
Role overview:
- Experience working on data pipelines, platforms, and projects
- Working in one or more of the main Cloud providers (AWS, GCP, Azure)
- Experience in developing solutions in some of SQL (+ variants), Python, Scala,Java
- Working with a variety of RDBMS databases, ideally in production environments
- Creation and support of highly available data pipelines
- Using ETL platforms and/or coded equivalents
- Using scheduling tools and/or familiarity with working in streaming environments- Ensuring reliability and availability
- Working with other data storage and processing technologies including:- Spark- Document databases- Graph databases- Columnar databases
- Working with configuration control (Git/GitHub, Terraform, ansible, etc.) and CI/CD tools
- Understanding and being able to support data scientists or business intelligence teams - in data prep, mentoring, and support functions
What would you do Working with the client and the team to determine data processing and access needs and how best to deliver them.
- Creation and support of highly available data pipelines and storage solutions (e.g. data warehouses).
- Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
- Automation of data infrastructure and deployments.
- Advocating agile practices to the client organisation.
- Mentoring client team members.
- Helping improve the team and clients' data capabilities
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