Architect, Cloudera Spark – Big Data Developer, Spark
Job Description:
• Operate on high-complexity data engineering and data analytics projects
• Ensure scalability and security of data architectures in enterprise environments
• Develop and optimize distributed data pipelines in enterprise contexts
Requirements:
• Big Data Architect with deep experience in distributed environments and Cloudera technologies
• Proven experience with Big Data architectures based on Cloudera Data Platform (CDP) and Apache Spark
• Strong knowledge of HDFS, Hive, Impala, HBase, Kafka and NiFi
• Proficiency with YARN, Ranger, Knox, Atlas and data security and governance tools
• Experience in data modeling and design of ETL/ELT pipelines
• Knowledge of Scala, Python and SQL
• Good understanding of microservices, containerization (Docker, Kubernetes) and REST APIs
• Familiarity with Linux/Unix environments and advanced scripting
• Experience with monitoring tools and performance tuning for Spark and Cloudera
• Experience in Public Administration or regulated environments is a plus
• Big Data Developer with solid experience in Cloudera and Apache Spark environments
• At least 3 years' experience developing applications on Apache Spark (Core, SQL, Streaming)
• Deep knowledge of the Cloudera ecosystem (HDFS, Hive, Impala, Oozie, NiFi)
• Strong proficiency in Scala and Python
• Experience managing and optimizing Spark jobs in clustered environments
• Knowledge of Kafka for real-time ingestion
• Familiarity with Git, Jenkins, CI/CD and DevOps best practices
• Experience in query tuning, data ingestion pipelines and data transformation
• Basic knowledge of Linux, shell scripting and distributed systems
• Attention to detail and ability to work in structured environments
• Good communication skills and a team-oriented attitude
• Commitment to continuous improvement and adoption of quality standards
Benefits:
• Remote work
Apply tot his job
Apply To this Job
• Operate on high-complexity data engineering and data analytics projects
• Ensure scalability and security of data architectures in enterprise environments
• Develop and optimize distributed data pipelines in enterprise contexts
Requirements:
• Big Data Architect with deep experience in distributed environments and Cloudera technologies
• Proven experience with Big Data architectures based on Cloudera Data Platform (CDP) and Apache Spark
• Strong knowledge of HDFS, Hive, Impala, HBase, Kafka and NiFi
• Proficiency with YARN, Ranger, Knox, Atlas and data security and governance tools
• Experience in data modeling and design of ETL/ELT pipelines
• Knowledge of Scala, Python and SQL
• Good understanding of microservices, containerization (Docker, Kubernetes) and REST APIs
• Familiarity with Linux/Unix environments and advanced scripting
• Experience with monitoring tools and performance tuning for Spark and Cloudera
• Experience in Public Administration or regulated environments is a plus
• Big Data Developer with solid experience in Cloudera and Apache Spark environments
• At least 3 years' experience developing applications on Apache Spark (Core, SQL, Streaming)
• Deep knowledge of the Cloudera ecosystem (HDFS, Hive, Impala, Oozie, NiFi)
• Strong proficiency in Scala and Python
• Experience managing and optimizing Spark jobs in clustered environments
• Knowledge of Kafka for real-time ingestion
• Familiarity with Git, Jenkins, CI/CD and DevOps best practices
• Experience in query tuning, data ingestion pipelines and data transformation
• Basic knowledge of Linux, shell scripting and distributed systems
• Attention to detail and ability to work in structured environments
• Good communication skills and a team-oriented attitude
• Commitment to continuous improvement and adoption of quality standards
Benefits:
• Remote work
Apply tot his job
Apply To this Job