Analytics Engineer

Key Responsibilities:

• Develop, optimize, and maintain data pipelines to support analytics and reporting needs.
• Implement transformations in DBT to structure data for business use cases.
• Write efficient SQL queries to extract, transform, and load data.
• Work with Python for automation and data processing tasks.
• Collaborate with data producers and consumers to ensure smooth data flows and resolve any data-related issues.
• Ensure data accuracy, consistency, and reliability across various platforms.
• Document data models, transformations, and best practices for the team.

Basic Qualifications: 

• Bachelor’s degree in computer science, Data Science, or a related field.
• 1 to 2 years of experience in analytics engineering, data engineering, or a related role.
• Proficiency in SQL (writing complex queries, performance optimization).
• Hands-on experience with DBT (data modeling, transformations).
• Strong programming skills in Python (for data processing and automation).
• Experience working with data warehouses, and data integration.
• Ability to work collaboratively with cross-functional teams.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

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