Data Engineer

We are seeking a skilled and proactive Data Engineer with 3+ years of experience to join our data infrastructure team. This role requires strong hands-on experience with DBT and Amazon Redshift, coupled with solid analyst skills, including schema design and data modeling. A traditional pure data engineering background is not mandatory — a blend of data engineering and analytics expertise is essential to build, optimize, and maintain robust data pipelines and support BI dashboards using tools like Holistics BI and Metabase.

• Design, build, and maintain scalable ELT pipelines using DBT to transform raw data into actionable datasets.
• Develop and optimize data models and schemas in Amazon Redshift to meet analytics and reporting requirements.
• Collaborate closely with analysts and business stakeholders to understand data needs and deliver clean, reliable datasets for BI consumption.
• Integrate multiple data sources and support the development and maintenance of dashboards in Holistics BI and Metabase.
• Monitor pipeline performance, ensure high data quality, and troubleshoot issues proactively.
• Apply best practices in data modeling, transformation logic, and thorough documentation.

• Minimum 3 years of relevant experience combining data engineering and analytics responsibilities.
• Strong proficiency in DBT — modular SQL modeling and managing transformation workflows.
• Hands-on experience with Amazon Redshift, including schema design, performance tuning, and data warehousing fundamentals.
• Solid analyst skills — data modeling, schema design, and working with business data requirements.
• Experience using BI tools such as Holistics BI and Metabase to build and manage dashboards.
• Strong SQL skills and understanding of data warehousing concepts.
• Familiarity with version control (e.g., Git) and CI/CD pipelines in data projects.
• Excellent communication skills and ability to work collaboratively in cross-functional teams.