APIs Data Engineer Python
• Design, build, and maintain scalable data pipelines and ETL processes for handling large datasets • Develop and manage databases, ensuring data accuracy, integrity, and accessibility • Collaborate with teams to integrate data systems and meet business needs • Optimize data workflows for performance, scalability, and cost efficiency • Monitor, troubleshoot, and resolve issues in data systems to ensure reliability • Implement data governance policies and ensure compliance with regulations • Stay updated on new technologies and apply best practices in data engineering • Secure sensitive data and build cloud-based infrastructure for modern solutions
• 3–5 years of professional experience in Python development • Proven experience in data engineering or data processing projects • English: Fluent • Proficiency with pandas and other data manipulation libraries • Experience with PySpark (preferred but not mandatory) • Familiarity with Azure Databricks (or similar cloud-based data platforms) • Understanding of blockchain fundamentals (e.g., data structures, consensus mechanisms, smart contracts) • Comfortable working with APIs (REST, RPC, GraphQL) and large-scale datasets • Experience building data pipelines and ETL workflows; familiarity with Delta Lake, Spark SQL, and notebook-based workflows in Databricks (preferred but not mandatory) • Strong problem-solving and debugging skills • Clear communication, especially for remote or cross-functional collaboration • Ability to work independently and manage time effectively
• Salary: Up to 45M • Join a global team and work directly with many talents around the world • Opportunities for onsite work in Japan, Singapore, Australia, and many other countries • Work and grow in a dynamic, creative, and professional environment • Healthcare: Premium Health Insurance TECHVIFY Care • 13 months’ salary per year • Annual salary evaluation • Sponsor and encourage staff to study courses by covering tuition fees, such as Udemy, Coursera
