Senior Data Engineer

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.

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.

JPMorgan Key Responsibilities

• Extract, Transform and Load data from Third Parties into AWS Storage and Databases.
• Building and maintaining AWS Environments.
• Configure monitoring for cloud environments.
• Actively participate in Agile ceremonies and two-week sprint cycles.
• Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.

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, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
• Analytical thinking, Consulting, Critical Thinking

Must-Haves

• 4+ years of experience.
• Snowflake, including data modeling, datamarts, and data warehouse design.
• DBT for data transformations.
• Python, including object-oriented programming and data scripting.
• Airflow for pipeline orchestration.
• REST API integration and data ingestion.
• Google BigQuery querying and optimization.
• Secure handling of large-scale and sensitive data.
• Real-time data processing (e.g., from Google Sheets or APIs).
• Strong SQL, including highly optimized queries.
• Comprehensive documentation skills.
• Upper-intermediate English level.

Preferred Qualifications

• Experience building and deploying Kubernetes based solutions.
• Experience with Jenkins and Spinnaker pipelines.
• Any experience with Azure cloud provider is also favorable.
• Any experience with ChatGPT API.
• Any experience with ODRL/DCAT.
• Any experience building Business Intelligence solutions

Career context and Company culture

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

We are looking for a Senior/Lead Data Engineer to build and maintain the pipelines and da