Data Engineer TMD

Mexico City - Mexico

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

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 163000 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:

On-site Hybrid Fully remote Temporarily remote due to COVID-19 Work-from-home flexibility. <-- Select only one

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Terraform IaC

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.

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 163000 professionals across 90 countries helping 1279 global customers including Fortune 500...