Apache Iceberg Platform Engineer
Hyve Solutions
Apache Iceberg, Spark, and object storage are central to this Data Warehouse System Engineer position at Hyve Solutions. Build enterprise Lakehouse capabilities.As an experienced Data Platform Engineer, you will modernize traditional Hadoop and Hive architecture into a cloud-native platform. Your focus is platform engineering, including metadata, catalogs, governance, and unified access across processing engines. You will address scalability, concurrency, performance, and operational stability in petabyte-scale environments.Key Responsibilities:
Build Lakehouse services supporting batch and streaming workloadsImplement compute-storage separation at enterprise scaleEnable access through Spark, Flink, and TrinoIntegrate Azure, Databricks, and Snowflake ecosystemsCreate ingestion, orchestration, quality, and diagnostic toolsRequirements:
Deep understanding of Iceberg metadata and snapshotsExperience with Spark, Kubernetes, and resource schedulingKnowledge of Azure Blob, Amazon S3, or MinIOProgramming skills in Java, Scala, or PythonBachelor’s or Master’s degree in a technical fieldUse Apache Iceberg, Spark, cloud storage, and platform engineering skills to advance Hyve Solutions’ enterprise data architecture.
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Build Lakehouse services supporting batch and streaming workloadsImplement compute-storage separation at enterprise scaleEnable access through Spark, Flink, and TrinoIntegrate Azure, Databricks, and Snowflake ecosystemsCreate ingestion, orchestration, quality, and diagnostic toolsRequirements:
Deep understanding of Iceberg metadata and snapshotsExperience with Spark, Kubernetes, and resource schedulingKnowledge of Azure Blob, Amazon S3, or MinIOProgramming skills in Java, Scala, or PythonBachelor’s or Master’s degree in a technical fieldUse Apache Iceberg, Spark, cloud storage, and platform engineering skills to advance Hyve Solutions’ enterprise data architecture.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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