Data Engineer
2 tygodni temu
Responsibilities:
- Create data pipelines – both as batch and in real-time - to ingest data from dissimilar sources
- Collaborate with the other teams to address data sourcing and provision requirements
- Design and monitor robust, recoverable data pipelines following best practices with an eye out for performance, reliability, and monitoring
- Innovation drives us - carry out research and development and work on PoCs to propose, trial and adopt new processes and technologies
- Coordinate with the Product & Technology teams to ensure all platforms collect and provide appropriate data
- Liaise with the other teams to ensure reporting and analytics needs can be addressed by the central data lake
- Support the Data Quality and Security initiatives by building into the architecture the necessary data access, integrity, and accuracy controls
Requirements:
- 4+ years of experience in Data Engineering
- Degree in Computer Science, Software Development or Engineering
- Proficient in Python. Past exposure to Java will be considered an asset
- Understanding of RDMS, Columnar and NoSQL engines & their performance
- Experience with cloud architecture and tools: Microsoft Azure, Amazon or GCP
- Experience with orchestration tools such as Apache AirFlow, dbt
- Prior exposure to the Snowflake ecosystem will be considered an asset
- Familiarity with Docker/Kubernetes and containerisation
- Strong background in stream data processing technologies such as NiFi, Kinesis, Kafka
- A grasp of DevOps concepts and tools including Terraform and Ansible are an advantage
- Understanding of distributed logging platforms - ideally the ELK stack
Skills:
- Fluency in spoken and written English is essential
- Passionate about data and on the lookout for opportunities to optimise
- Passionate about technology and eager to trial and recommend new tools or platforms
We offer:
- High-level compensation and regular performance based salary and career development reviews
- Possibility to work in a big and successful company
- PE accounting and support
- Medical insurance (health), employee assistance program
- Paid vacation, holidays and sick leaves
- Sport compensation
- English classes with native speakers, training, conferences participation
- Referral program
- Team buildings, corporate events
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