Staff Data Engineer (Open source committers/contributors)

• Big Data Platforms : We design and implement platforms capable of processing and analyzing vast amounts of data generated by millions of transactions daily. These platforms support various use cases, from fraud detection to personalized customer experiences.
• Open-Source Software : Our development approach heavily relies on open-source technologies, allowing us to build innovative solutions while contributing to the wider tech community. We use and contribute to projects like Apache Hadoop, Apache Druid, Apache Pinot, Apache Spark, Apache Flink, and Apache Kafka, among others.
• Cutting-Edge Technologies : To achieve our goals, we incorporate state-of-the-art technologies in our stack. This includes leveraging streaming analytics, real-time data processing, and low-latency services to ensure that our platforms are always at the cutting edge of performance and reliability.

• Expertise in Distributed Systems : Proven experience in designing, developing, and maintaining large-scale distributed systems.
• Open-Source Contributions : Active involvement in the open-source community, particularly in streaming, analytical, and low-latency services.
• Technical Proficiency : Strong proficiency in technologies such as Apache Druid, Apache Pinot, Apache Spark, Apache Flink, Apache Kafka, Temporal, and Yugabyte.
• Innovative Mindset : A passion for innovation and a drive to stay ahead of the curve by continuously exploring and implementing new technologies.

Basic Qualification:
5+ years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications
Bachelors degree in Computer Science, or related technical discipline. With 10+ years of overall software development experience in building PaaS or Application frameworks.
Excellent verbal and written communication and presentation skills, analytical and problem solving skills
Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Python or Go.
Experience in Technologies like Spark, Druid, Ray and streaming platforms (Kafka, Flink), containers and kubernetes.
Open source committers in Druid, Pinot and/or Spark.
Experience in Devops and core infra development using technologies like Kubernetes, Docker, Ansible, Terraform.
Experience in building REST services and API s following best practices of service abstractions, Micro-services and Orchestration frameworks.
Experience building generic services and instrumentation of libraries for wide use across an organization / company.
Experience in Agile methodology and CICD - tool Integration, automation, configuration management in GIT
Appreciation of diverse LOBs(Line of business) and their platform needs combined with deep technical expertise are required for the role.