Job Description

Join our team and contribute to the design and implementation of large-scale big data systems. Work with the full stack from UI to the core backend and handle big data. Work with petabytes of data and billions of transactions, leveraging the latest big data processing technologies.

Responsibilities

• Design, develop, test, debug, and deploy applications in a hybrid cloud environment
• Develop new ELT workflows using various tools and programming languages
• Improve and optimize existing ETL processes and complex queries, ensuring time and cost performance
• Work on the UI layer as and when needed
• Solve complex performance bottlenecks, tackle architectural challenges, and address production issues
• Collaborate with product owners, engineers, and operations teams to drive innovation, efficiency, and frictionless communication
• Mentor and provide technical guidance to junior engineers as needed

Requirements

• B.S or M.S in computer science, mathematics, or related field
• 6 to 8+ years of technology industry programming experience in computer science or big data field
• At least 2-4 years in a senior engineering role
• Working experience with programming languages like Java, Python, Go, and Angular
• Working experience with the Google Cloud Platform and Google Big Query is a must
• Operational understanding of cloud infrastructure
• Experience with building web services/ RESTful services/ microservices
• Experience performing requirements gathering and identifying the requirement gaps
• Proficient in conducting data analysis on incoming third-party data, identifying anomalies, inconsistencies, and quality issues using SQL and other database technologies
• Master of troubleshooting with a Figure-it-out attitude

Benefits

• No benefits