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Job Description

We are looking for a Senior+ Data Engineer with experience in Spark and cloud services (GCP) to be part of our team of innovative professionals. This role is essential in the creation and management of data lakes and streaming solutions. If you have solid knowledge in these areas and are ready to contribute to the development of high-impact projects, we want to hear from you!

Key Responsibilities

Design and implement data processing solutions using Spark.

Develop and optimize cloud architectures for efficient data management.

Collaborate with cross-functional teams to integrate data sources into data lakes.

Implement real-time data capture and processing using streaming technologies such as Kafka, Kinesis, or Pub/Sub.

Ensure data quality and availability through advanced monitoring and control practices.

B2 English or higher (required, the work is primarily in English).

Mandatory Requirements

Solid experience with Spark and its ecosystem.

Proven ability to implement and manage cloud solutions: Google Cloud Platform is a must, AWS and Azure desirable).

Experience in designing and managing complex data architectures.

Desired Qualifications

Experience with tools and platforms for managing data lakes.

Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.

Previous experience with Databricks or related platforms.

Why Join Us

Being part of Globant means working on disruptive projects that transform industries with a global reach.

We value professional growth and continuous innovation, providing an environment where each team member can reach their full potential.

How to Apply

If you meet the requirements and are interested in joining our team, follow these steps:

Submit your application through our portal.

Complete your profile on Talentconnect.ai.

Complete an initial interview via our AI platform.

We look forward to meeting you and adding your expertise to our team of specialists at Globant!