Data Engineer
Guatemala City, Guatemala
Perform
Perform is the leading nearshore staff augmentation & consulting company exclusively focused on software engineers. Founded by engineers - for engineers.We are seeking a skilled and motivated Data Engineer to join our Business Technology team. The team is responsible for driving business data analytics and ensuring robust data engineering practices. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining scalable data pipelines and infrastructure.
Required Skills:
- Strong experience with Python programming for data engineering tasks.
- Proficiency in data manipulation and transformation.
- Advanced SQL skills for database management and querying.
- Hands-on experience with AWS.
- Experience with Terraform for infrastructure automation.
- Proficiency in Looker and Snowflake.
- Strong understanding of data modeling principles and best practices.
- Upper Intermediate English level.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to support business data analytics.
- Perform data manipulation, transformation, and cleansing to ensure data quality and integrity.
- Develop and maintain database solutions using SQL.
- Implement data models and optimize data storage solutions in Snowflake.
- Utilize AWS cloud services for data storage, processing, and analytics.
- Use Terraform for infrastructure as code to manage and deploy cloud resources.
- Create and maintain reports and dashboards using Looker.
- Collaborate with the team to continuously improve data engineering practices and processes.
This position is open to Latin America only
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Data Analytics Data pipelines Data quality Engineering ETL Looker Pipelines Python Snowflake SQL Terraform
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