Remote Senior Data Engineer - DBT, Snowflake Pipelines

Bluelight Consulting, Llc; Quilmes; Remote; ARS 139,086,000 - 185,448,000; Full time

Job summary

GBS Chevron Global Business Services in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and maintain automated data pipelines and data products. You will work with Azure Data Factory, Databricks, and SQL-based platforms to support data architecture and BI across the organization.

You will collaborate with data scientists and ML engineers, ensure data quality, security, and scalable performance, and contribute to enterprise data solutions that power analytics and

Qualifications

• BS in Computer Science, MIS, Computer Engineering or related fields, or equivalent experience.
• 5+ years in Data Engineer role or similar.
• Experience with data acquisition, preparation and validation; data movement and transformation; data architecture patterns.

Responsibilities

• Understand business use of data and stakeholder requirements to support processes and objectives.
• Leverage data, software engineering, and data science techniques to create 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 by making data available for analytics models.
• Work with ML engineers to scale and deploy solutions including documentation and training.
• Contribute to inner source development of foundational tools and services.

Skills

Analytical thinking

Consulting

Critical thinking

Education

BS in Computer Science / MIS / Computer Engineering

Tools

Azure Data Factory

Databricks

DevOps

CI/CD Pipeline

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

ADO

Azure Data Lake

Logic Apps

Microsoft Data Flows

Kimball Data Warehousing

Job description

GBS Chevron Global Business Services in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and maintain automated data pipelines and data products. You will work with Azure Data Factory, Databricks, and SQL-based platforms to support data architecture and BI across the organization.

You will collaborate with data scientists and ML engineers, ensure data quality, security, and scalable performance, and contribute to enterprise data solutions that power analytics and