Data Engineer - Apache Iceberg SME
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - Apache Iceberg SME with a contract length of "unknown" and a pay rate of "unknown." Key skills include Apache Iceberg, Python, Scala, Spark, and experience transitioning from Hadoop to open-source solutions. A Bachelor's degree in Computer Science or related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #Java #Trino #NoSQL #Apache Iceberg #Airflow #SQL (Structured Query Language) #DynamoDB #Data Management #Spark (Apache Spark) #Programming #Kafka (Apache Kafka) #Data Engineering #Computer Science #Metadata #Hadoop #Apache Kafka #Databases #Apache Airflow #JDBC (Java Database Connectivity) #Data Processing #Python
Role description
The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.
Responsibilities
• Designing the environment, defining implementation steps, and driving the transition from Hadoop to a new open-source solution.
Qualifications
• Bachelor's degree or equivalent experience in Computer Science or related field
• Open-source development with modern data platforms
• Data formats: Apache Iceberg, Parquet, ORC
• Catalogs & metadata management: JDBC, Nessie, Polaris
• Programming in Python, Scala, and Java
• Data processing with Spark, Trino, and Flink
• SQL & NoSQL databases (Cassandra, DynamoDB)
• Workflow orchestration & streaming: Apache Airflow, Apache Kafka
• Driving modernization initiatives: transitioning from Hadoop to next-gen open-source solutions
The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.
Responsibilities
• Designing the environment, defining implementation steps, and driving the transition from Hadoop to a new open-source solution.
Qualifications
• Bachelor's degree or equivalent experience in Computer Science or related field
• Open-source development with modern data platforms
• Data formats: Apache Iceberg, Parquet, ORC
• Catalogs & metadata management: JDBC, Nessie, Polaris
• Programming in Python, Scala, and Java
• Data processing with Spark, Trino, and Flink
• SQL & NoSQL databases (Cassandra, DynamoDB)
• Workflow orchestration & streaming: Apache Airflow, Apache Kafka
• Driving modernization initiatives: transitioning from Hadoop to next-gen open-source solutions
