Data Engineer
3 weeks ago
**Overview**
Ref: 97215
**Data Engineer - Hybrid Working**
Would you like to work for a company that is a leader in its field with a truly diverse team where over 60% of staff are international, representing over 25 countries where your uniqueness is celebrated?
**Role Responsibilities**
As a Data Engineer, you will own, build and maintain the data platform, architecture, data pipelines, disaster recovery, and mirror system, as well as core systems for data-driven features and be part of the high-performance Data, Insight & Research team.
Responsibilities will include:
- You will be responsible for maintaining code, data pipelines and architecture.
- Collaborate with other team members with for example debugging and give feedback to code.
- Responsible for fixing stuff that is broken and keeping code clean and deployments robust.
- Proactively improve implementations and architecture.
- You will work together with Data Scientists and Data Analysts to make data pipelines, data extracts and analyses.
- Collaborate closely with DevOps teams, especially the Infrastructure and Integration teams.
- Work with state-of-the-art technologies and frameworks: Apache, Spark, Python (PySpark, PyTorch as well as bunch of other frameworks), S3, Lambda, API Gateway, Elasticsearch, Terraform, Databricks and Docker.
**Person Specification**
- You are very comfortable working with AWS, in particular; S3, SQS, Lambda.
- You have worked with Apache Spark, Databricks or similar technolog.y
- Experience with Elasticsearch.
- You take pride in writing clean, testable, maintainable, and performant code.
- You are energetic, have a great sense of humour and attitude, and you are passionate about shaping the future of assessment.
- You are proactive in assuring that the company is building future-proof solutions and you stay up-to-date and ahead with new technologies.
- Write code and build architecture that helps the team create more fair grades for millions of test takers.
- Designing, developing, and implementing the architecture and data pipeline for production-grade services that requires a high degree of robustness and scalability.
- Work together with Data Scientists and Data Analysts in Data, Insight & Research to develop new features, extract data and perform analyses.
**Reward**
There is hybrid working environment where you will go into the office from time to time and will be rewarded with an excellent package, as well as the opportunity to significantly progress your career.
**Next Steps**
**Equal Opportunities**
FPSG is committed to equal opportunities regardless of gender, race disability, sexual orientation, religion or belief and age.
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