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.

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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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Data Analytics Data pipelines Data quality Engineering ETL Looker Pipelines Python Snowflake SQL Terraform

Region: North America
Country: Guatemala

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