Senior Data Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Enhance and refine the data pipeline architecture at PatternAI.

• Streamline data flow and collection processes for various cross-functional teams.

• Construct and implement data pipelines that support PatternAI's machine learning platform.

• Create warehouse architectures that integrate data from multiple sources.

• Develop analytical solutions for product innovation and internal stakeholders.

⛳️ Requirements

• At least 4 years of experience in data engineering, analytics engineering, or software engineering, focusing on large-scale data management and processing systems.

• Strong proficiency in Python and advanced SQL.

• Extensive experience with ETL pipelines, data modeling, and managing data warehouses (Snowflake, BigQuery, Redshift, etc.).

• Familiarity with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., along with NoSQL systems like MongoDB is essential.

• Competence in using tools such as Meltano, dbt, Airflow, and Superset is necessary.

• Experience with Docker, Git, and AWS (EC2, ECS, S3, Step Functions, and Athena) is required.

• Knowledge of Analytics and Business Intelligence is highly desirable.

• Experience interacting with common SaaS APIs (like CRMs) is preferred.

🏝️ Benefits

• Employees have the flexibility to work remotely.