Senior Data Platform Engineer
hace 4 semanas
**Tech**:
- Málaga, Spain***
- Lisbon, Portugal***
- Munich, Germany***
By EVA Global, published on March, 2023
**About EVA Global**:
- EVA Global is the leading electric vehicle managed services provider committed to maximizing the reliability, availability and accessibility of your charging network. We are the industry’s partner of choice for maximizing charger uptime and utilisation. With our API-first technology platform, EVA Global offers an end-to-end charging solution, from multi-lingual end-user support and ad-hoc payment capabilities to complete infrastructure management services, including commissioning, network monitoring and field service orchestration.
- Headquartered in Finland, EVA Global has offices in Spain, Portugal, Germany, Malaysia, and USA (United States of America), serving 60+ partners in three continents. The company comprises more than 380 employees, and we continue to grow. The company currently maximises the uptime and availability of 400K+ partner charge points, solving 100K+ monthly cases, serving 2.55M+ EV drivers in 30+ languages and countries in Europe, North America, and the APAC region.- We are in search of passionate
- **data platform engineers **to build the next generation e-mobility data platform that can serve analytics, machine learning and data product needs across the EVA Global.
**Responsibilities**:
**Primary Responsibilities**:
- You will take lead in designing, creating and optimising data ETL / ELT pipelines
- You will be responsible for deploying and maintaining the data platform
- You will be automating the testing of data services and data quality checks
- As part community of practices, you will be responsible for following and sharing best practices in data engineering world
- You will be building robust monitoring / alerting across data services
**Secondary Responsibilities**:
- Supporting your team in translating business requirement into technical specs
- Reviewing Code, RFC and ADRs
- Helping your team in recruiting your future teammates
**Requirements**:
- Strong proficiency in building, deploying, and maintaining the data pipelines
- Strong proficiency in Python, Pandas, Pyspark and any python-based web-frameworks (FastAPI, Flask, Django)
- Experience with event driven platforms (like Kafka, Message queues and streaming)
- Experience with AWS (Amazon Web Services) Cloud (S3, Athena, Glue, Redshift, and Lambda)
- Experience with Data tools (like DBT, Spark, Airflow, Presto, Great Expectations)
- Experience with containerisation tools (like Docker, and Kubernetes)
- Experience with CI/CD for continuous integration and delivery
- Experience with infrastructure as a code tools (like Terraform, cloud formation, and puppet)
- Experience in building monitoring / alerting on data services
- Familiarity with Agile/Scrum methodologies
- Excellent teamwork and communication skills
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