Snowflake / DBT Analytics Engineer


Job description

We are seeking a talented and experienced Snowflake/ DBT Analytics Engineer. In this role, you will be responsible for designing, building, and maintaining our data analytics infrastructure, with a focus on leveraging Snowflake and dbt to drive actionable insights from our data.

• Design and implement data models and ETL processes in Snowflake to support analytics and reporting needs.
• Develop and maintain dbt models, transformations, and documentation to ensure data accuracy, consistency, and reliability.
• Collaborate with data analysts and business stakeholders to understand requirements and translate them into technical solutions.
• Optimize query performance and data pipeline efficiency to support scalable and high-performance analytics.
• Monitor data quality and troubleshoot issues as they arise, ensuring the integrity of our data assets.
• Stay current with emerging trends and best practices in data engineering and analytics and recommend innovative solutions to enhance our capabilities.


• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proficiency in SQL and experience with Snowflake or similar cloud data warehouse platforms.
• Hands-on experience with dbt (data build tool) and strong understanding of data modeling concepts.
• Experience with Python or another scripting language for data manipulation and automation.
• You have experience in version control tools like GitLab or GitHub
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Strong verbal and written communication skills in English

• Experience with other data engineering tools and technologies such as Airflow, Spark or Kafka.

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