Data Engineer

Key Responsibilities

• Design, develop, and maintain scalable data models to support analytics and reporting needs
• Build, monitor, and optimize ETL/ELT pipelines using best practices in data transformation and automation
• Collaborate with BI and analytics teams on data requirements
• Ensure data integrity and consistency via automated data tests 
• Proactively suggest data improvements, reporting ideas

Required Qualifications

• 3+ years of experience in analytics engineering, data engineering, or a related field
• Advanced proficiency in SQL, with experience in writing efficient data modeling queries
• Hands-on experience with modern data transformation frameworks (e.g. dbt, Dataform, or similar)
• Strong understanding of data warehousing principles and data architecture best practices
• Familiarity with ETL/ELT methodologies and workflow orchestration tools
• Experience working with cloud-based data warehouses and databases (Snowflake, PostgreSQL, Redshift, or similar)
• Knowledge of BI tools (Power BI, Tableau, Looker, or similar)
• Basic programming skills in Python or another scripting language for automation
• Solid understanding of data governance, lineage, and security best practices
• Experience with Git-based version control and CI/CD workflows for data transformations

Preferred Qualifications

• Deep understanding of data warehouse concepts and database maintenance
• Background in business intelligence, analytics, or software engineering
• Self-motivated and proactive, with the ability to independently uncover and solve problems