Data Engineer

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We are seeking a skilled and motivated Data Engineer to support a data driven organization by building reliable, scalable data pipelines and enabling analytics and reporting used across the business. You will help ensure strong data engineering practices that support accuracy, reliability, and growth.

• Design, build, and maintain scalable data pipelines and ETL processes to support business analytics.
• Perform data manipulation, transformation, and cleansing to ensure accuracy and integrity.
• Develop and maintain database solutions using SQL.
• Implement and optimize data models and storage solutions in Snowflake.
• Leverage AWS services for data storage, processing, and analytics.
• Use Terraform to manage and deploy cloud resources as infrastructure‑as‑code.
• Create and maintain reports and dashboards in Looker.
• Collaborate with the team to continuously improve data engineering practices and processes.

• Experience with Python programming for data engineering tasks.
• Proficiency in data manipulation and transformation.
• Strong SQL skills for database management and querying.
• Hands‑on experience with AWS.
• Proficiency with Terraform for infrastructure automation.
• Proficiency in Looker and Snowflake, with experience in Snowflake administration.
• Strong understanding of data modeling principles and best practices.
• Excellent English communication skills — vocal, extroverted, and confident in sharing ideas in collaborative settings.

Since 2005, Perform's engineers have been helping companies scale their apps and their teams. We were near‑shoring before it was even a term and have worked with 100s of clients along the way.

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