 
						Data Infrastructure Specialist
Há 2 dias
About our team as a Data Infrastructure Specialist:Build large additions to our platform ecosystem, centralizing ETL and streaming infrastructure, experimentation, and data development.Design scalable solutions for business and data problems.Main tech stack: S3 with Parquet and Iceberg for storage, Hive and Iceberg REST catalog, Spark (Python, SQL, Scala), Go, Scala, Java for backend, Kafka, Kubernetes, Helm, AWS IAM, Datadog, Trino, and tooling to improve experiment design and analysis.Collaborate with multiple teams to deliver deep-dive analyses and experiment design.Develop processes to empower efficient and rigorous experimentation.Key Responsibilities:Design and implement scalable data pipelines using Hadoop, Spark, and other technologies.Develop and maintain robust data architectures that support real-time analytics and reporting.Maintain strong relationships with cross-functional teams to ensure alignment on data strategy.Requirements:Degree in engineering or computer science.Experience in platform engineering, experimentation platforms, production-level coding in Python, Go, Scala, or Java.Built and supported RBAC systems and Iceberg-based data warehouses.
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