8 of 8 Remote/Hybrid Apache Iceberg Jobs

scale data pipelines, with a strong grasp of data structuring for performance and efficiencyHands-on experience with Airflow for orchestrating complex data workflows, and Apache Iceberg for table format management at scaleExtensive AWS experience including EKS, Docker, and Kubernetes; comfortable owning infrastructure deployment and scaling decisionsCI/ ...

delightful index consumption experience.Develop efficient, and secured cloud-native architectures.Work with relational databases (PostgresSQL), possibly NoSQL and object stores, and modern Lakehouse architectures (Iceberg)Design scalable data models, helped by peers and data governanceContribute to code reviews and be code reviewed to learn and improvePartner with global teams ...

decisions that matter: architecture, system design, and the tradeoffs that determine whether a platform scales gracefullyNice-to-haveLakehouse and streaming technologies — experience with Databricks, Apache Iceberg, Kafka, or similar is a strong advantageWhat we offerDiverse and internationally distributed team: joining our team means becoming part of a large ...

Applications DevelopmentDemonstrated knowledge of client core business functionsDemonstrated leadership, project management, and development skillsRelationship and consensus building skillsPreferredKafka/Event-Driven ArchitectureApache Iceberg/Delta LakePythonAI/ML & LLM integrationFinancial Services/Capital MarketsEducation:Bachelor’s degree/University degree or equivalent experienceMaster’s degree preferredWhat we’ll provide ...

Databases: PostgreSQL, Graph Databases ( Neo4j , Kuzu ), and data mesh/metadata management platforms. Modern Tech Stack: Next.js 14, FastAPI (Python), Casbin RBAC, Pipeline Orchestration, Apache Iceberg, MCP AI Server Integration, and ODCS v2 Data Contracts layer. DevOps & Integration: Azure DevOps, CI/CD, Data Transformation/Quality frameworks ...

commonly used for data manipulation, building data pipelines, and developing algorithms for data processing. A strong understanding of data formats such as Delta and Iceberg is vital, in addition to both SQL and NoSQL databases. Data engineers should be skilled in designing, querying, and optimising data to ensure efficient … engineers should be adept at Extract, Transform, Load (ETL) processes. This includes using frameworks such as the Medallion Architecture, as well as tools like Apache Airflow, Fivetran, Azure Data Factory, and Amazon Glue to automate data workflows and ensure data quality. Familiarity with cloud computing services, such ...

software development lifecycleSolid background in Java/Scala and a scripting language like Python.Experience building large scale data pipelinesStrong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.Experience with relational SQL and NoSQL databases, including ...

microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.What You'll Do: Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related … combined between backend/cloud development and data platform engineering roles5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP5+ years of experience programming with Java, Scala or Kotlin.Proven experience utilizing AI technologies ...