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GCP Data Engineer / Data Architect @ Globant

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Globant  GCP Data Engineer / Data Architect

Job Description

GCP Data Engineer Globant

About Globant

Globant is a digitally native company that helps organizations reinvent themselves and unlock their full potential. We combine innovation, design, and engineering at scale to deliver cutting-edge digital solutions for some of the world's leading brands. With a strong focus on AI, Cloud, Data, and Digital Transformation, Globant operates across 36+ countries and serves clients across industries including Financial Services, Hitech,Healthcare, Retail, Media, Travel, and Technology.


Position Overview

We are looking for a passionate and skilled GCP Data Engineer to join our Data & AI team. The ideal candidate will have strong experience in building scalable data platforms, modern data pipelines, and cloud-native analytics solutions on Google Cloud Platform (GCP). Experience with Vertex AI is a plus.


Location: Pune, Hyderabad, Bangalore, Indore, or open to discussion based on candidate preference and business requirements.


Experience

  • 6+ years of experience in Data Engineering, ETL/ELT, Analytics Engineering, Data Warehouse Development, or Big Data ecosystems.
  • Minimum 4+ years of hands-on experience with GCP Data Services.

Must-Have Skills

  • Strong expertise in SQL and Python.
  • Hands-on experience with BigQuery, including datasets, tables, views, partitioning, clustering, query optimization, and cost management.
  • Experience building batch and streaming pipelines using Dataflow / Apache Beam.
  • Strong Spark/PySpark experience on Dataproc or equivalent big data platforms.
  • Experience with Pub/Sub or similar event-streaming technologies.
  • Expertise in Cloud Composer (Airflow) for workflow orchestration.
  • Strong understanding of data modeling, data warehousing, and performance optimization.
  • Experience in ETL/ELT design, development, and production support.
  • Knowledge of data quality checks, reconciliation, schema validation, monitoring, alerting, retries, and backfills.
  • Experience with CI/CD pipelines, Git, and deployment automation.
  • Strong troubleshooting and problem-solving skills in production environments.

Good-to-Have Skills

  • Experience with Google Vertex AI, Generative AI, MLOps, or AI-powered data solutions.
  • Dataform or dbt.
  • BigQuery ML.
  • Dataflow Templates.
  • Looker / LookML.
  • Terraform and Infrastructure as Code (IaC).
  • Experience with Databricks, EMR, or other cloud-native data platforms.

Key Responsibilities for Senior GCP Data Engineer:

  • Design, develop, and maintain scalable batch and real-time data pipelines on GCP.
  • Build and optimize enterprise data warehouse solutions using BigQuery.
  • Implement data quality, governance, observability, and operational best practices.
  • Collaborate with architects, data scientists, analysts, and business stakeholders to deliver innovative data solutions.
  • Monitor, troubleshoot, and optimize production data pipelines and workflows.
  • Contribute to cloud modernization, automation, CI/CD, and AI/ML initiatives.
  • Ensure solutions are scalable, secure, cost-efficient, and aligned with business requirements.

Why Join Globant?

  • Work on large-scale Data, Cloud, AI, and GenAI transformation programs.
  • Collaborate with global clients across multiple industries.
  • Access continuous learning, certifications, and career growth opportunities.
  • Be part of an innovative and diverse team shaping the future of technology.
  • Opportunity to work with cutting-edge technologies including GCP, AI/GenAI, Data Platforms, and Cloud-native architectures

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Globant
Location(s): Pune

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Keyskills:   Vertex Ai Data Python Vertex

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