Data Engineer

• Design, build, and maintain scalable data infrastructure using Snowflake, Airflow, Fivetran, and DBT to support efficient data pipelines.
• Maintain expertise in SQL and Python for data manipulation, analysis, and automation.
• Leverage business acumen to collaborate with stakeholders on data mart development, addressing issues such as missing, inaccurate, or incomplete data.
• Develop and implement comprehensive tests to ensure accurate data ingestion and processing, particularly within DBT data models, ensuring reliability across the pipeline.
• Apply site reliability engineering best practices, using tools like Datadog to monitor ETL pipelines and maintain system stability.
• Collaborate with cross-functional teams to gather requirements, identify opportunities, and implement data solutions that provide business value.
• Be a team player, working effectively within collaborative environments, while also acting as a self-starter, driving projects forward independently.

Senior Data Engineer

Junior Data Engineer

Junior Data Engineer

Senior Data Engineering Specialist

ETL Data Engineer, Databricks

Senior Data Engineer