Join our team at Globant! **Job Description** -------------------------- We are looking for a Senior+ Data Engineer with experience in Spark and cloud services to join our group of innovative professionals. This role is critical in building and managing data lakes and streaming solutions. If you possess strong expertise in these areas and are ready to contribute to 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 ingestion and processing pipelines using streaming technologies such as Kafka, Kinesis, or Pub/Sub. * Ensure data quality and availability through advanced monitoring and control practices. ### **Mandatory Requirements** * Solid experience with **Spark** and its ecosystem. * Proven ability to implement and manage **cloud solutions** (AWS, Azure, or Google Cloud). * Experience designing and managing complex data architectures. ### **Desired Qualifications** * Experience with tools and platforms for data lake management. * Knowledge of streaming technologies such as **Kafka, Kinesis, or Pub/Sub**. * Prior experience with Databricks or similar platforms. ### **Why Join Us** Being part of Globant enables you to work on disruptive projects that transform industries, with global reach. We value professional growth and continuous innovation, providing an environment where every team member can achieve 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 artificial intelligence platform. We look forward to meeting you and welcoming your expertise to our team of experts at Globant!