Remote Clinical Bi & Data Analytics Associate I

Uptalent.Io; Quilmes; Remoto; ARS 92.724.000 - 146.813.000; Tempo pieno

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina is seeking a Data Engineer to build and maintain automated data transformation pipelines. The role supports data architecture design by integrating diverse storage and compute technologies and enabling scalable data products for analytics teams.

The candidate will collaborate with ML engineers, scale models, and contribute to internal tooling while adhering to best practices in software engineering and DevOps.

Competenze

• BS in Computer Science, MIS, Computer Engineering or related field (or equivalent experience).
• +5 years in Data Engineer role.
• Experience with Azure Data Factory, Databricks, Python/Java, and data warehousing concepts.
• Knowledge of analytics solution architecture and cloud computing.

Mansioni

• Understand business use of data and stakeholder requirements to support processes and 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.
• Normalize and ingest 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.

Conoscenze

Python

Java

Azure Data Factory

Databricks

Azure Synapse

CI/CD

Git

Azure Data Lake

ETL

Formazione

BS in Computer Science or related field

Strumenti

Git

ADO (Azure DevOps)

Azure Data Lake

Azure Analysis Services

Logic Apps

Microsoft Data Flows

Descrizione del lavoro

Cloud Data and Analytics Consultant, Professional Services (English, Portuguese, Spanish)

Buenos Aires, Buenos Aires, Argentina

Full time

R

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

Job Description

GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

Responsibilities include:

• 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. Includes data ingestion, data preparation and analytics processing.
• 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.

Required Qualifications:

• BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
• +5 years in Data Engineer Role
• Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
• Analytical thinking, Consulting, Critical Thinking