Data Engineer - Latin America
Azumo · Buenos Aires · Remote
Azumo
Azumo operates as a nearshore software development and staffing firm, pairing US and global clients with engineering talent concentrated in Latin America, with a hub in Buenos Aires. Its work spans custom application development, machine learning engineering, data science, and data engineering across Python, .NET, JavaScript, and Java stacks—positioning it alongside nearshore and IT-services players like Encora, Globant, and Toptal's staffing model, competing on time-zone alignment and technical depth rather than sheer scale. Like many nearshore firms that emerged to serve North American companies seeking cost-effective, culturally aligned engineering partners, Azumo built its reputation on delivering senior-level technical talent rather than junior staff augmentation.
Gig description
Headquarters: Buenos Aires, Argentina URL: http://azumo. com Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America . This position will give you the opportunity to collaborate with a growing team and bright engineering minds in big data computing. You will enjoy the role if you love designing and developing scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or any similar frameworks , both on premise and in the cloud. Experience in building data pipelines, data services, data warehouses, BI and ML platforms is what we are looking for. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Requirements The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Basic Qualifications: BS or Master’s degree in Computer Science, related degree, or equivalent experience 5+ years experience with data-related and data management responsibilities Deep expertise in designing and building data warehouses and big data analytics systems Practical experience manipulating, analyzing and visualizing data Self-driven and motivated, with a strong work ethic and a passion for problem solving Professional English proficiency (B2/C1) Preferred Qualifications: Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole Prior experience with notebooks using Jupyter, Google Collab, or similar. Benefits Company benefits include: Paid Time Off Mentored Career Development U. S. Holidays USD Remuneration Profit Sharing Maternity Coverage 100% Remote About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services . We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI . Our talented AI developers are trusted to deliver Top AI Development services in Generative AI , intelligent automation, and custom machine learning solutions. At Azumo , we believe in professional and personal growth. As a recognized AI Development company , we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo. co To apply: https://weworkremotely. com/remote-jobs/azumo-data-engineer-latin-america
Requirements to meet
Disclaimer
Suggestions only — review each course yourself to judge whether it meets the role's requirements. Completing a course doesn't guarantee proficiency or that you'll qualify; hiring standards vary by employer.
Skills required
Machine Learning (required)
GapCourses that may help you meet this requirement:
Make data available in Azure Machine Learning
Microsoft Learn · beginner · Free · 39m · ★ 4.8
This beginner course directly covers machine learning concepts in Azure, helping close the Machine Learning skill gap needed for the Data Engineer role.
Introduction to DevOps principles for machine learning
Microsoft Learn · beginner · Free · 33m · ★ 4.7
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Continuous deployment for machine learning
Microsoft Learn · beginner · Free · 22m · ★ 4.7
This course directly covers Machine Learning, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
SQL (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers SQL, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
Explore fundamental relational data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This course covers SQL, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Get started with data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This beginner course introduces foundational data concepts that can help build the base knowledge needed before developing SQL skills required for a Data Engineer role.
Azure (required)
GapCourses that may help you meet this requirement:
Describe security and compliance concepts
Microsoft Learn · beginner · Free · 48m · ★ 4.8
This beginner-level course is recommended to help build foundational Azure knowledge needed for the Data Engineer role, though it does not yet cover specific matched skill keywords.
The Principles of Sustainable Software Engineering
Microsoft Learn · beginner · Free · 25m · ★ 4.8
This beginner course is recommended to address the Azure skill gap for the Data Engineer role, though it does not explicitly cover Azure-specific topics based on available course details.
Embrace responsible AI principles and practices
Microsoft Learn · beginner · Free · 58m · ★ 4.8
This course covers Azure, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Analytics (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Analytics, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
Integrate data with Azure Data Factory
Microsoft Learn · beginner · Free · 1h · ★ 4.6
This course covers Analytics, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Data Analysis with Python
freeCodeCamp · beginner · Free
This course covers Analytics, which appears as a requirement in the Data Engineer posting at a beginner level.
Spark (required)
GapCourses that may help you meet this requirement:
Spark and Python for Big Data with PySpark Specialization
Coursera · beginner · $49/mo · 30h · ★ 4.6
This course directly covers Spark, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 30 hours.
Databricks Lakehouse Fundamentals
Coursera · beginner · $49/mo · 2h · ★ 4.5
This course directly covers Spark, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 2 hours.
Use Apache Spark in Microsoft Fabric
Microsoft Learn · intermediate · Free · 1.5h · ★ 4.8
This course directly covers Spark, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 1 hours.
Kafka (required)
GapCourses that may help you meet this requirement:
Kafka Fundamentals
Coursera · beginner · $49/mo · 5h · ★ 3.9
This course directly covers Kafka, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 5 hours.
Apache Kafka Specialization
Coursera · beginner · $49/mo · 17h · ★ 3.9
This course directly covers Kafka, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 17 hours.
ETL and Data Pipelines with Shell, Airflow and Kafka
Coursera · intermediate · $49/mo · 17h · ★ 4.5
This course directly covers Kafka, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 17 hours.
Airflow (required)
GapCourses that may help you meet this requirement:
ETL and Data Pipelines with Shell, Airflow and Kafka
Coursera · intermediate · $49/mo · 17h · ★ 4.5
This course directly covers Airflow, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 17 hours.
Apache Airflow Best Practices
Coursera · intermediate · $49 · 10h
This course directly covers Airflow, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 10 hours.
Snowflake (required)
GapCourses that may help you meet this requirement:
Intro to Snowflake for Devs, Data Scientists, Data Engineers
Coursera · beginner · $49/mo · 12h · ★ 4.8
This course directly covers Snowflake, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 12 hours.
Snowflake - Introduction Course
Coursera · beginner · $49 · 4h · ★ 4.5
This course directly covers Snowflake, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 4 hours.
Building AI Agents with Snowflake
Coursera · intermediate · $49/mo · 5h · ★ 4.8
This course directly covers Snowflake, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 5 hours.
Databricks (required)
GapCourses that may help you meet this requirement:
Explore core data concepts
Microsoft Learn · beginner · Free · 35m · ★ 4.8
This course covers Databricks, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Databricks, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
Use AutoML in Azure Databricks
Microsoft Learn · intermediate · Free · 44m · ★ 4.8
This course directly covers Databricks, which appears as a requirement in the Data Engineer posting at an intermediate level and can be completed in approximately 1 hours.
ETL (required)
GapCourses that may help you meet this requirement:
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers ETL, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 0 hours.
The Path to Insights: Data Models and Pipelines
Coursera · advanced · $49/mo · 17h · ★ 4.7
This course covers ETL, which appears as a requirement in the Data Engineer posting at an advanced level and can be completed in approximately 17 hours.
Integrate data with Azure Data Factory
Microsoft Learn · beginner · Free · 1h · ★ 4.6
This course covers ETL, which appears as a requirement in the Data Engineer posting at a beginner level and can be completed in approximately 1 hours.