**Location:** Fully remote. Open to candidates residing in Argentina, Chile, or Brazil. Join our inclusive and globally collaborative virtual working environment. **Role Overview** ----------------- Globant is seeking a talented and experienced Senior\+ Data Engineer with an innovative mindset and expertise in **Azure** and **Databricks**. This role offers a unique opportunity to work on high\-impact projects across diverse industries while maintaining a flexible remote work arrangement. Our ideal candidate is passionate about data engineering, dedicated to optimizing data\-related processes, and enjoys collaborating in a dynamic and inclusive team. ### **Key Responsibilities** * Design and develop robust data pipelines and architectures using Azure Data services and Databricks. * Collaborate with cross\-functional teams to understand business requirements and translate them into scalable data solutions. * Implement data models and facilitate data integration, transformation, and migration to enhance organization\-wide analytics capabilities. * Optimize data processing workflows and ensure data quality, reliability, and accessibility. * Maintain and innovate on our data infrastructure and recommend best practices for data governance and security. * Provide technical leadership and mentorship to junior data engineers, promoting best practices in data engineering. #### **Skills Required** * Minimum of 7 years of experience in data engineering with strong expertise in cloud\-based data platforms. * Hands\-on experience with Microsoft Azure, specifically Azure Databricks for data processing. * Strong proficiency in data modeling, ETL processes, and data warehousing concepts. * Solid experience with programming languages such as Python, Scala, or SQL. * Proven ability to work with large datasets and a variety of storage solutions, including Azure Data Lake, Azure SQL, etc. * Excellent problem\-solving skills and the ability to work collaboratively in a team\-focused environment. * Fluency in English, preferably at a B2 level or higher, facilitating effective communication with global teams. ##### **Preferred Qualifications** * Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. * Experience with big data tools and frameworks, such as Spark, Hadoop, or Kafka. * Background in Agile development environments and familiarity with CI/CD pipelines and version control systems. * Knowledge of machine learning models deployment in data\-rich environments. * Adept at identifying opportunities for data\-driven improvements and implementing innovative solutions. ###### **Why Join Us?** Our company is at the forefront of technological innovation, providing employees with a vibrant and growth\-oriented work culture. We emphasize continuous learning, collaboration, and creative problem\-solving. As an integral part of our team, you will have the chance to work on transformative projects and advance your career while making a significant impact in the tech industry. ###### **Application Process** Are you ready to embrace a new challenge and elevate your data engineering career? Follow the steps below to apply: * Submit your application through our website. * Register and complete your initial interview at www.talentconnect.ai. We eagerly welcome talented individuals and invite you to be a part of Globant's success story. Apply now to join our diverse and highly skilled team!