Netflix - 1d ago
Reddit - 4d ago
Passionate about computer science, developing software & internet applications
Strong algorithm and logical skills, very good problem-solving skills, and ability to investigate to find the root of the problem
Proven knowledge of Java technologies/frameworks
Experience in designing and developing scalable and distributed applications
Experience in regards to observability i.e. monitoring, logging, tracing
Proven experience with OOD and processes for development and testing
Proficient in standard methodologies for writing code that is maintainable and secure
Ability to research and become proficient in new technologies
Committed to the highest levels of quality, demonstrates accuracy and thoroughness both in testing and code development
Proficiency in scrum terminology and processes
Experience with data technologies and Typelevel ecosystems, i.e. Hadoop/HBase/MapReduce/Iceberg, Kafka; operational experience with these it's considered a plus
Scala and Spark knowledge
Experience in working with infrastructure, i.e. cloud providers, containers, and orchestrators is a plus
Experience with build management tools, preferably Jenkins
Experience with monitoring solutions: New Relic, Datadog, Runscope, Prometheus, Grafana.
Contribute to the design and new feature development.
Collaborate with business partners, architects, technical leads, product management, and analysts to develop high-quality customer-centric solutions.
Architect, develop, and optimise data pipelines using Scala/Java, Spark, and Databricks to handle large-scale data processing, according to specifications, while keeping a strong product-first approach.
Ensure high availability and reliability of data pipelines, including failover mechanisms, data validation, and monitoring
Manage multi-cloud infrastructure (AWS, Azure, GCP) with Terraform / Pulumi
Optimize resource usage and cost efficiency in multi-cloud deployments
Conduct sophisticated investigations to understand the root cause of data misalignment
Research various technologies useful for the project and keep in touch with the evolution of the Analytics market.
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