Senior Cloud Data Engineer – Big Data, Spark & Hadoop

Jpmorganchase

Partido de Quilmes

On-site

ARS 137,078,000 - 198,002,000

Full time

8 days ago

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Job summary

Chevron seeks a data engineer to operate, monitor, and maintain a cloud BigData service in the Latin American region. The role includes SLO construction, capacity management, and automation plug-ins to improve availability and efficiency.

Requires deep knowledge of Hadoop, Hive, Spark, and Linux, plus hands-on experience with data ingestion, transformation, and analytics workflows. On-site in Buenos Aires with relocation possible for the right candidate.

Qualifications

Proficient in English and can use it as a working language.
+5 years in Data Engineer role.
Must be available to work on-site.
Relocation may be considered; expatriate assignments not considered.

Responsibilities

Understand business use of data and stakeholder requirements to support work processes and strategic business objectives.
Leverage data, software engineering, and data science techniques to create business value through data accessibility.
Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns.
Responsible for normalizing and ingesting data from multiple sources.
Enable data scientists, making data available for advanced analytics models, and contributing to models.
Work with ML Engineer to scale and deploy solution including model, documentation, training, integration.
Contributing to the inner source development of foundational tools, and/or the deployment of technical services.