Data Engineer - TMD
Location: México (MX)
Experience Level: Senior
Description
Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.
They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.
Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights.
We are currently searching for a Data Engineer
Responsibilities
- Infrastructure as Code (IaC): Architect and maintain GCP data infrastructure using Terraform to ensure consistency across environments (Dev, Stage, Prod).
- Lakehouse Architecture: Design enterprise-grade storage and compute layers using BigQuery, GCS, and Dataproc.
- Automated Provisioning: Develop CI/CD pipelines for automated deployment of data resources (Pub/Sub topics, Dataflow jobs, Cloud Composer environments).
- Data Modeling: Create canonical and domain-specific data models to support AI/ML and operational products.
- Cross-Cloud Connectivity: Implement BigQuery Omni to enable federated queries across different cloud providers without moving data.
- Self-Service Enablement: Build federated data layers that allow downstream consumers to access data products autonomously.
Requirements
- GCP Data Engineer with Terraform, IaC
- Architect and design an enterprise grade GCP based data lakehouse leveraging BigQuery, GCS, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and BigQuery Omni.
- Define data ingestion, hydration, curation, processing and enrichment strategies for large scale structured, semi structured, and unstructured datasets.
- Create data domain models, canonical models, and consumption ready datasets for analytics, AI/ML, and operational data products.
- Design federated data layers and self service data products for downstream consumers.
Must
- Terraform (Mandatory)
Languages
- Advanced Oral English.
- Native Spanish.
Note:
- Fully remote
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Requirements
- GCP Data Engineer with Terraform, IaC
- Architect and design an enterprise grade GCP based data lakehouse leveraging BigQuery, GCS, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and BigQuery Omni.
- Define data ingestion, hydration, curation, processing and enrichment strategies for large scale structured, semi structured, and unstructured datasets.
- Create data domain models, canonical models, and consumption ready datasets for analytics, AI/ML, and operational data products.
- Design federated data layers and self service data products for downstream consumers.
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