Location: Fully remote. Candidates residing in Argentina, Chile, or Brazil are welcome. Embrace a collaborative and inclusive virtual work environment.

Role Overview

Globant is searching for a motivated and experienced Senior+ Data Engineer with a focus on Google Cloud Platform (GCP) to join our dynamic team. In this fully remote role, you will leverage your expertise in data engineering to drive impactful projects across various industries. We seek an individual who is passionate about transforming data into actionable insights and thrives in a flexible and inclusive work environment.

Key Responsibilities

• Design and implement scalable data pipelines and architectures utilizing Google Cloud Platform tools.
• Collaborate with product and analytics teams to comprehend data needs and translate them into cutting-edge data solutions.
• Enable seamless data integration, transformation, and migration to facilitate enhanced analytics processes across the organization.
• Ensure data accuracy, reliability, and accessibility by optimizing data workflows.
• Continuously innovate and maintain our data infrastructure, adhering to data governance and security best practices.
• Provide technical guidance and mentorship to junior team members, promoting a culture of learning and excellence.

Skills Required

• At least 7 years of experience in data engineering, with a strong focus on cloud-based data platforms.
• Proficiency in Google Cloud Platform, including services such as BigQuery, Dataflow, and Pub/Sub.
• Extensive knowledge of data modeling, ETL processes, and data warehousing concepts.
• Proficient in programming languages like Python, Java, or SQL.
• Experience handling large datasets and utilizing storage solutions such as Google Cloud Storage and Firestore.
• Exceptional problem-solving skills and a collaborative mindset in a team-oriented setting.
• Fluent in English, preferably at a B2 level or higher, to communicate effectively with global teams.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Experience with big data tools and frameworks like Apache Spark, Hadoop, or Kafka.
• Familiarity with Agile development methodologies and CI/CD pipelines.
• Knowledge of deploying machine learning models in data-centric environments.
• A knack for identifying data-driven optimizations and implementing solution-oriented approaches.

Why Join Us?

We are at the forefront of technology innovation, fostering a culture of growth, creativity, and collaboration. Join us to expand your career while working on transformative projects that deliver a significant impact within the tech industry. We value continuous improvement, knowledge sharing, and teamwork in all of our endeavors.

Application Process

Ready to elevate your data engineering career and tackle new challenges? Follow these steps to apply:

1. Submit your application through our official website.
2. Register and complete your initial interview at www.talentconnect.ai.

We look forward to welcoming talented individuals to our team and invite you to be a part of Globant's success story. Apply now to become part of our diverse and skilled team!