Lead BI Data Engineer, Analytics Pipelines

BairesDev; Buenos Aires; In loco; ARS 108.178.000 - 154.540.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation possible

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and maintain automated data transformation pipelines spanning diverse storage and compute technologies for robust data architecture design.

Responsibilities include data ingestion, preparation, and analytics processing, enabling data scientists with accessible datasets and contributing to ML model deployment alongside an ML Engineer. Relocation may be considered.

Competenze

• BS in Computer Science, MIS, Computer Engineering or related field, or equivalent experience.
• +5 years in Data Engineer role.
• Experience with data ingestion, preparation and analytics processing; data movement and transformation.
• Knowledge of Azure data services including ETL pipelines and cloud computing.
• Analytical thinking and collaboration with data scientists and ML engineers.

Mansioni

• Understand business data usage and stakeholder requirements to support processes and objectives.
• Leverage data, software engineering and data science techniques to create data accessibility and value.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns.
• Normalize and ingest data from multiple sources for analytics use cases.
• Collaborate with ML engineers to scale and deploy data/ML solutions and assist in documenting and training.

Conoscenze

Analytical thinking

Critical thinking

Consulting

Formazione

BS in Computer Science / MIS / Computer Engineering or equivalent

Strumenti

Azure Data Factory

Databricks

DevOps

CI/CD

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

ADO

Azure Data Lake

Azure Analysis Services

Logic Apps

Microsoft Data Flows

Kimball Data Warehousing

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and maintain automated data transformation pipelines spanning diverse storage and compute technologies for robust data architecture design.

Responsibilities include data ingestion, preparation, and analytics processing, enabling data scientists with accessible datasets and contributing to ML model deployment alongside an ML Engineer. Relocation may be considered.