Solution Data Engineer
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Requirements
• At least 2 years of hands-on experience with Node.js and Python 3. • 2 years of hands-on experience with Node.js and Python 3 • Strong experience writing advanced SQL queries. • advanced SQL queries • Strong analytical and problem-solving skills with attention to detail. • Fluent verbal and written English. • Fluent verbal and written English • Experience with Kubernetes (K8s). • Kubernetes (K8s) • Familiarity with the JVM ecosystem. • JVM ecosystem • Experience with Apache Spark or other Big Data frameworks. • Apache Spark • Experience with Apache Airflow. • Apache Airflow • Experience with AWS services such as S3, Glue, and Athena. • AWS services • S3, Glue, and Athena • Solid knowledge of Linux operating systems. • Linux operating systems • Experience with ClickHouse. • ClickHouse • Familiarity with the AdTech industry and Real-Time Bidding (RTB). • AdTech industry and Real-Time Bidding (RTB) • Experience with Functional Programming, Unit Testing/TDD, and Continuous Deployment practices. • Functional Programming • Unit Testing/TDD • Continuous Deployment
Responsibilities
• Design, build, and deploy backend data APIs from research and architecture through development, testing, and production deployment. • backend data APIs • Develop scalable and reliable data-driven solutions to support business and product needs. • data-driven solutions • Collaborate closely with data engineers, product managers, architects, and other R&D teams. • data engineers, product managers, architects, and other R&D teams • Monitor and maintain production systems to ensure high stability, scalability, and performance. • high stability, scalability, and performance • Work closely with data scientists to support data-driven features and analytical solutions. • data scientists • Continuously improve system performance, reliability, and development processes. • system performance, reliability, and development processes
Benefits
• Opportunity to work with large-scale data systems processing billions of events daily. • large-scale data systems processing billions of events daily • A collaborative environment with top engineers, data scientists, and product teams. • top engineers, data scientists, and product teams • The chance to build innovative data infrastructure and APIs at scale. • innovative data infrastructure and APIs • Professional growth in a global technology company. • global technology company • Competitive compensation and benefits package.