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

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