Senior Data Engineer

About the role

You will work with business stakeholders and their Engineering team (mostly with Data Scientists, Data Analysts, Backend Engineers and SRE’s) to develop and have a real impact on the overall design of the data architecture to allow the growth of CoverWallet, thanks to your exceptional skills designing, developing, testing, maintaining and optimizing highly data management systems.

Essential job functions

• Work in a multi-cloud environment with GCP/AWS with cutting-edge technologies like Apache Airflow, Pub/sub, Redshift, Kubernetes, MongoDB, AWS Lambda among others and using Python as your main programming language (but we are open to others).
• Develop, maintain and optimize high-quality, reliable and robust data pipelines on Kubernetes and Airflow that convert data streams into valuable information.
• Model and architect their data infrastructure building real time streaming and batch processing solutions (Right now they are working with Google Cloud Pub/Sub and Amazon Aurora).
• Design and deploy high-load microservices with strong quality requirements and high business value for the development of Machine Learning models and data tools.
• Keep constantly improving your technical knowledge and expertise by implementing solutions based on open-source projects (e.g. DBT).

Requirements

• Bachelor’s Degree and/or 5+ years working in data or software engineering environments.
• Solid background in DWH solutions as Amazon Redshift.
• Expertise in SQL/noSQL databases (PostgreSQL, MongoDB, Redis, etc.).
• Coding proficiency in Python is a must. Additionally at least one programming language (Scala, Go or Ruby) is highly desirable.
• Experience working with bash scripting, Docker, Kubernetes and Linux environments on a daily basis.
• Experience with AWS/GCP stack or another cloud computing platform is highly valuable.
• Strong written and verbal communication, presentation, and technical writing skills.
• Team player, technology passionate and self-motivated individual.
• Strong communication skills in English.

Company offers

• The possibility to disrupt one of the biggest industries, and in one of most developed digital markets in the world.
• Great offices in New York, Madrid, and near the beach in Valencia.
• Competitive and flexible compensation (tickets restaurant, transport card, daycare checks, and external training).
• Company-paid Life and Accident Insurance, and Medical insurance as benefits.
• 23 days of vacation per year.

Hiring process

• 15-minute culture fit interview.
• 2 technical interviews.
• Final interview.