Description:

Responsible for designing, building, and maintaining high-performance, scalable data systems and infrastructure.
Collaborate with cross-functional teams to enhance platforms and develop solutions for data-driven applications.

Requirements:

5+ years of professional software and data engineering experience.
Proficient in Python; experience with GO, TypeScript, or JavaScript is beneficial.
Extensive experience with databases like ClickHouse, PostgreSQL, and MongoDB.
Strong understanding of real-time data streaming systems, especially Kafka.
Experience with ETL pipelines and large-scale data migrations.
Familiarity with AWS services and cloud infrastructure.
Proven ability in performance tuning for high-volume data systems.
Comfortable with containerization technologies (Docker, Kubernetes) and IaC tools.
Deep understanding of software development best practices and CI/CD pipelines.

Skills

Benefits