Data Systems Engineer

Há 5 dias


Porto, Porto, Portugal Loqr Tempo inteiro

About the Role: We are seeking a highly skilled Data Systems Engineer to join our team. As a key member of our data team, you will be responsible for maintaining and evolving our data systems and pipelines to enable data-driven analytics and insights.

About You: To be successful in this role, you should have a strong understanding of distributed computing principles and distributed systems. You should also have experience with building stream-processing systems using solutions such as Flink, Spark-Streaming, Kafka Streams, Storm, or similar. Additionally, you should have a good understanding of Lambda, Kappa, and Data Lake Architectures.

Responsibilities:

  • Develop, deploy, and maintain a Data Mesh solution to power LOQR's Data Analytics needs;
  • Design streaming or batch dataflows capable of processing massive quantities of data;
  • Monitor dataflows and underlying systems, promoting necessary changes to ensure scalable, high-performance solutions and data quality and availability;
  • Work closely with the rest of LOQR's teams to deliver a world-class Data Mesh solution.

About Us: LOQR is a promising startup with an entrepreneurial atmosphere. We offer a top team delivering cutting-edge technology to international customers, commitment to your happiness and success, room to thrive and grow, premium health insurance (for you and your children), office with 1,000m2 where you can have fun and feel at home, with locker rooms, a fully provisioned kitchen with fresh fruit, free breakfast, coffee - and cake, because we love cake. We work hard but also need our rest. At LOQR, you can get 22+3+3 vacation days. Let's grow together by investing in people, technology, and tools to support your talent and improve innovation. We understand the significance of work-life balance and the importance of having motivated people who feel a greater sense of ownership over their work. Estimated Salary: $120,000 - $180,000 per year. This estimate is based on industry standards for a Data Systems Engineer with similar skills and experience in the United States.

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