Duties and Responsibilities:

Develop robust data pipelines to extract, transform, and load (ETL) data from various sources.

Creating SQL queries to transform raw data into structured datasets across multiple layers in a data warehouse for analytical purposes.

Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

Write clean, maintainable code and conduct code reviews to ensure code quality.

Troubleshoot issues and implement solutions to ensure data integrity and availability.

Required and Desired Skills/Certifications: 

• Bachelor's degree in computer science, engineering, or equivalent relevant experience.
• Proven experience as a Data Engineer or similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong written, verbal, analytical, and interpersonal skills.
• Excellent problem-solving skills and attention to detail.  

Preferred Qualifications:

• Experience with data processing technologies such as AWS Glue or Azure Synapse.
• Familiarity with cloud infrastructure provisioning tools like Terraform, CloudFormation, or Azure Resource Manager
• Experience with version control systems (e.g., Git).

Physical Requirements: No Physical requirement needed for this position.

Location: LATAM