Senior+ Data Engineer (with Azure and Databricks) - 100% remote (Argentina, Chile, Brazil).

Location: Fully remote. Open to candidates residing in Argentina, Chile, or Brazil. 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 ionate 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 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.
• 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 our diverse and highly skilled team!