Data Engineer (Remote - Latin America)
F
Fractal RiverSoftware Development
Latin AmericaFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 1-5 years
- Required Skills
- AWSPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingETLGCPMicrosoft AzureSnowflakeData engineeringCI/CDRESTful APIsDevOpsData modeling
Requirements
- 1-5 years of working experience in fast-paced environments
- High tolerance for ambiguity
- Passion for constant learning
- Motivated, highly adaptive people
- Ability to interact with customers and perform technical work
- Understand needs, extract requirements, and design and propose solutions
- Curious and driven to learn
- Proactive and a self-starter
- Comfortable with Python and SQL fundamentals
- Know when and how to leverage AI tools to accelerate work while maintaining quality and understanding
- Eager to leverage AI tools (ChatGPT, Claude, Gemini, etc.) to fuel creativity and problem-solving
- Understand AI’s limitations and know the boundaries to ensure delivery of proper work
- Collaborative and communicative
- Adaptable
- Process-minded
- Detail-oriented
- CEFR level C1 (Advanced) English proficiency
Responsibilities
- Help design and implement data pipelines and analytic infrastructures with the latest technologies.
- Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities.
- Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery.
- Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities.
- Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms.
- Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth.
- Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect.
- Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers.
- Develop technical documentation and best practices for our customers.
- Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes.
- Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve.
- Coordinate projects, activities, and tasks to ensure objectives and key results are met.
- Identify opportunities, generate innovative solutions, and improve existing product features.
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