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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 highimpact 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 crossfunctional teams to integrate data sources into data lakes.
Implement realtime 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 mustAWS andAzure 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!
Full Time