Senior GCP Data Engineer – Remote

EPAM Systems Inc; Quilmes; Remote; ARS 139,086,000 - 185,448,000; Full time

Job summary

Chevron Global Business Services in Buenos Aires is seeking a Data Engineer to design and maintain automated data pipelines that support data architecture across the organization, enabling reliable data delivery and scalable analytics.

You will work with Azure Data Factory, Databricks, Python and Java, SQL and data modeling concepts, collaborating with data scientists and ML engineers to ingest, transform, and serve data for dashboards and advanced analytics.

Qualifications

• BS in Computer Science, MIS, or related field or equivalent experience.
• 5+ years in Data Engineer role.
• Experience with data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing; information security.

Responsibilities

• 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 (ingestion, prep, analytics).
• Identify, acquire, cleanse and prepare, store data and develop data products aligned with defined architecture patterns.
• Normalize and ingest data from multiple sources.
• Enable data scientists by making data available for analytics models and collaborating with ML engineers.

Skills

Analytical thinking

Consulting

Critical thinking

Education

BS in Computer Science or related field

Tools

Azure Data Factory

Databricks

DevOps

CI/CD pipeline

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

ADO

Azure Data Lake

Microsoft Data Flows

Kimball Data Warehousing

Job description

Chevron Global Business Services in Buenos Aires is seeking a Data Engineer to design and maintain automated data pipelines that support data architecture across the organization, enabling reliable data delivery and scalable analytics.

You will work with Azure Data Factory, Databricks, Python and Java, SQL and data modeling concepts, collaborating with data scientists and ML engineers to ingest, transform, and serve data for dashboards and advanced analytics.