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 cuttingedge 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 cloudbased 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 problemsolving skills and a collaborative mindset in a teamoriented setting.
- Fluent in English preferably at a B2 level or higher to communicate effectively with global teams.
Preferred Qualifications
- Bachelors or Masters 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 datacentric environments.
- A knack for identifying datadriven optimizations and implementing solutionoriented 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:
- Submit your application through our official website.
- Register and complete your initial interview at .
We look forward to welcoming talented individuals to our team and invite you to be a part of Globants success story. Apply now to become part of our diverse and skilled team!