
Senior Data Platform Engineer, Snowflake
Posted May 23

Posted May 23
This is a fully remote position, open to applicants in Poland.
• Develop data ingestion pipelines that integrate AI tools and internal systems into Snowflake.
• Enhance and fortify the existing Snowflake infrastructure, which consists of schemas and tables that have evolved organically without the input of data engineering, bringing them up to industry standards.
• Implement deployments through CI/CD pipelines into Airflow or AWS Glue.
• Oversee and process access requests.
• Work collaboratively with product managers and engineers to determine data requirements.
• Over 5 years of experience in data engineering.
• Proficiency in Python for scripting, API development, and pipeline construction.
• Familiarity with Apache Airflow for pipeline orchestration; Dagster or Prefect can be considered as alternatives.
• Experience with AWS services, particularly Glue and Lambda, along with a background in deploying and maintaining production workloads.
• Knowledge of Apache Spark for distributed processing, especially within AWS Glue.
• Preference for Snowflake as a data warehouse; familiarity with Redshift or BigQuery is acceptable if concepts can be easily adapted.
• Experience with CI/CD pipelines, such as GitHub Actions or similar, as this is the method for deploying pipelines and scripts to Airflow and Glue.
• API experience, including consuming third-party APIs and developing internal APIs using Python.
• Proficient with Git/GitHub for version control, branching strategies, and pull request workflows.
• Knowledge of PostgreSQL or other OLTP databases for operational data access and integration.
• Fully remote work environment.
• Health insurance (specific details not specified).
• Opportunities for professional development.
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