Data Engineering And Platform Manager

World Business Lenders, Llc

Quilmes

On-site

ARS 1,200,000 - 1,800,000

Full time

3 days ago
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Job summary

GBS Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and maintain automated data transformation pipelines and support data architecture initiatives. You will join a global IT organization serving the enterprise across the globe.

The successful candidate has 5+ years in a Data Engineer role, strong SQL, Python/Java, and cloud experience with Azure Data Factory and Databricks, collaborating with data scientists and ML engineers.

Qualifications

  • BS in Computer Science, MIS, Computer Engineer or related fields.
  • +5 years in Data Engineer role.
  • Experience with data acquisition, preparation, and validation.
  • Experience with big data computing and cloud computing.
  • Familiarity with Azure Data Factory, Databricks, Python/Java.

Responsibilities

  • Understand business use of data and stakeholder requirements to support work processes.
  • Leverage data, software engineering, and data science techniques to create value.
  • Identify, acquire, cleanse & prepare, store data and develop data products.
  • Normalize and ingest data from multiple sources.
  • Enable data scientists and contribute to models.
  • Collaborate with ML Engineer to scale and deploy solutions.

Skills

Data engineering
Data ingestion
Big data
Python
Java
CI/CD
DevOps
Ansible
SQL
Azure

Education

Bachelor's degree in Computer Science or related

Tools

Azure Data Factory
Databricks
Azure SQL
CI/CD pipelines
Python
Java

Job description

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
  • 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
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