Senior Data & BI Engineer - Power BI & SQL Pipelines

Aptitud Estratégica Srl; Quilmes; In loco; ARS 1.800.000 - 3.000.000; Tempo pieno

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and maintain automated data transformation pipelines supporting data architecture. The role contributes to data ingestion, processing, and analytics while enabling data scientists with accessible data assets.

You will work with Azure-based tools (Data Factory, Databricks, Synapse) and a broad cloud data platform, delivering scalable solutions and collaborating with IT and business

Competenze

• BS in Computer Science, MIS, or related field or equivalent experience.
• +5 years in Data Engineer role.
• Experience with ETL/ELT, data ingestion, and cloud data platforms (Azure).

Mansioni

• 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, 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.

Conoscenze

Analytical thinking

Data modeling

Formazione

BS in Computer Science / related field

Strumenti

Azure Data Factory

Databricks

Python

Azure SQL

Azure Synapse

Git

Data Lake

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and maintain automated data transformation pipelines supporting data architecture. The role contributes to data ingestion, processing, and analytics while enabling data scientists with accessible data assets.

You will work with Azure-based tools (Data Factory, Databricks, Synapse) and a broad cloud data platform, delivering scalable solutions and collaborating with IT and business