Data Engineer
Fully remote work from anywhere in LATAM.ContractMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5+ years
- Required Skills
- AWSPythonSQLMicrosoft Power BISnowflakeTableauAirflowdbtLooker
Requirements
- 3–5+ years of experience in data engineering, analytics engineering, or advanced data-focused roles.
- Strong expertise in SQL for complex transformations, debugging, and performance optimization.
- Hands-on experience with Python for data processing, automation, and pipeline development.
- Proven experience working with Snowflake or similar cloud data warehousing platforms.
- Practical experience building ELT pipelines using dbt in production environments.
- Familiarity with AWS cloud services such as S3, EC2, or related data infrastructure tools.
- Strong understanding of data quality, validation, and reliability engineering principles.
- Experience working with modern orchestration tools such as Dagster or Airflow is a plus.
- Exposure to BI tools such as Tableau, Looker, or Power BI is an advantage.
- Strong analytical thinking and ability to translate business needs into data solutions.
Responsibilities
- Design, build, and maintain scalable data models and pipelines supporting analytics and marketplace intelligence use cases.
- Transform legacy ETL workflows into modern ELT processes using tools such as dbt and cloud-native architectures.
- Develop and optimize complex SQL queries for data transformation, validation, and analytical reporting.
- Build Python-based data workflows, automation scripts, and pipeline components to support scalable data processing.
- Design and maintain performant data structures within Snowflake, ensuring efficiency and reliability.
- Implement and enforce data quality frameworks, validation rules, and pipeline health monitoring practices.
- Collaborate with cross-functional teams to ensure analytics datasets are accurate, accessible, and production-ready.
- Support integration of data models with BI tools and downstream analytics systems.
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