Data Engineer
Company:Reach Financial
Location:US
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
PostgreSQLPythonSQLAmazon RDSSnowflakeData engineeringCI/CDTerraformData modeling
Requirements:
3+ years of hands-on experience in data engineering. Experience working with DBT (Core or Cloud) and Snowflake. Familiarity with systems like GitHub, Amazon RDS, PostgreSQL. Extensive knowledge of SQL and NoSQL data stores. Production experience working with and managing a Snowflake deployment. Production experience using dbt Cloud or other source-driven transformation management tools. Experience with operational database management. Must be self-motivated, focused, and highly committed.
Responsibilities:
Develop and manage data pipelines, models, schemas, and data artifacts. Evolve and enhance existing best practices and infrastructure. Partner with data scientists, analysts, and stakeholders to understand data requirements. Stay up-to-date on data engineering tools and technologies. Collaborate with Platform engineers for seamless integration and deployment. Monitor and troubleshoot data pipelines. Develop and maintain documentation for data pipelines and processes.
