Description

You will build and maintain the data infrastructure required for business intelligence and reporting.

Responsibilities

• Develop, optimize, and maintain data pipelines to support analytics and reporting.
• Implement data transformations in dbt to structure data for specific business use cases.
• Write efficient SQL queries to extract, transform, and load data.
• Use Python for automation and data processing tasks.
• Document data models, transformations, and team best practices.

Required Skills

• 1-2 years of experience in analytics engineering, data engineering, or a related role.
• Proficiency in SQL, including complex queries and performance optimization.
• Hands-on experience with dbt for data modeling and transformations.
• Strong programming skills in Python for data processing and automation.
• Experience with data warehouses and data integration.
• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with ETL/ELT processes and data pipeline orchestration.
• Familiarity with cloud-based data infrastructure including AWS, GCP, or Azure.
• Understanding of data governance and scalable analytics solutions.

Key Skills

Education

Bachelor’s degree in computer science, Data Science