About the Role

Responsible for the daily operation,configuration, monitoring, and maintenance of the cloud BigData service field in the Latin American region, and serves as the second-line support for handling demand changes,customer incident,and alarm tickets.

Responsible for the active operation and maintenance of a single cloud service, including SLO construction, process optimization, capacity management, standardized transformation, disaster recovery construction, daily drills, etc., by developing corresponding automation plug‑ins on the tool platform to optimize operation and maintenance efficiency and availability.

Professional Knowledge

Understand the core design principles of Hadoop, including HDFS architecture and read/write flows, YARN's resource scheduling model, and the MapReduce computing paradigm.

Understand basic data warehouse concepts (, fact tables, dimension tables) and the architecture of Hive, especially the role of the Metastore and how HQL is translated into computation jobs.

Understand the core concepts of Spark,



such as RDD resilience and fault tolerance, the advantages of DataFrames for structured data processing, and the execution flow of a Spark job.

Strong knowledge of Linux operating systems and environments.

A self-starter able to work independently but comfortable working in a team environment.

Ability to quickly learn new or unfamiliar technology and products using documentation and internet resources.

Skills

General skills of the operating system: Familiar with the daily operation and maintenance of the operating system, master the troubleshooting and handling of common operating system problems, experience in using shell/python for automated operation and maintenance is preferred;

General troubleshooting skills: System Log analysis, Packages catch and Analysis, Traffic analysis, Monitor design and optimize

Ability to write common HQL/SQL for data querying, joins, and simple aggregations.

Possess basic troubleshooting

📌 Data Engineer (Buenos Aires)
🏢 Bluelight Consulting
📍 Buenos Aires