Aws Data Engineer - London, United Kingdom - Jefferson Frank
Description
AWS Data Engineer - Salary to £90,000 - London/Hybrid
An award winning sustainable fintech consultancy have two exciting positions to add to their already experienced Data Engineering team. The company are prized on producing solutions to the industries most complex problems.
Proud to be working in the ESG and sustainability space this is an exciting opportunity to work with modern and a varied tech stack.
Responsibilities:
- Developing complex ETL pipelines using Python and query languages such as SQL, GraphQL and Cypher.
- Wrangling data, standardising and conforming data to common data models
- Ensuring data quality and data integrity of our key datasets
- Managing resources on AWS and using those tools to run and schedule data processing and ingestion jobs
- Participating in Agile development activities, attending daily standups, sprint planning, sprint review and sprint retrospective meetings
- Using SDLC systems (specifically Git, Jira, deployment models)
- Mentoring or providing technical guidance to colleagues and more junior team members.
Experience (not all a prerequisite):
- Educational Background in Computer Science or alternative STEM degree
- 3+ years of commercial experience essential
- Preference for experience with: Python, GraphQL, Cypher, SQL. Evidence of problem solving capacity and engineering skills, just as important.
- Experience of working with corporate data e.g. in a financial crime analytics, AML / KYC environment
- Experience of data matching and entity resolution (e.g. addresses, names and companies)
- Experience of deploying Microservices
- Experience of modern development standards and best practices
- TDD, CI/CD
- Experience of or interest in ESG data or sustainability/biodiversity data concepts
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