Responsibilities
- Design, develop, and maintain high-performance data pipelines and processing systems using Python, Go, and/or Rust.
- Implement and optimize queue mechanisms and tools to manage high-volume data streams effectively.
- Collaborate with cross-functional teams to ensure seamless integration of data systems within the larger infrastructure.
- Optimize ETL/ELT workflows and other data processing pipelines for efficiency and reliability in handling large datasets.
- Identify and resolve performance bottlenecks in data pipelines and storage solutions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- +2 years of experience in data engineering or related fields with a strong focus on data-intensive applications.
- Expertise in Python and/or Go programming languages.
- Experience with event-driven architecture and queue tools like Kafka, RabbitMQ, or similar.
- Proficient understanding of distributed systems, data processing frameworks, and advanced algorithms.
- Good knowledge of database technologies (Postgres, Scylla, MongoDB, Redis).
- Good knowledge of cloud systems, specially AWS
Bonus Points
- Knowledge of low-level programming languages such as Rust and C/C++
- Experience with columnar/OLAP databases such as ClickHouse, QuestDB, TimescaleDB
- Experience with data lake/warehouse technologies such as Delta and Iceberg
- Experience in fast-paced and/or early stage tech startups
Compensation
- Competitive salary and stock options
- Optional fully funded English / Spanish courses
- 30 days of paid annual leave
- Education and courses stipend
- Earn a trip anywhere in the world every 4 years
- Day off during the week of your birthday
- Up to R$1.000/mo for meals and remote work allowance
- Health plan with national coverage and without coparticipation
- Dental Insurance: we help you with dental treatment for a better quality of life.
- Gympass and Sports Incentive: R$300/mo extra if you practice activities
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