Build and deploy the data pipelines that power PatternAI’s machine learning platform.
Develop warehouse architectures that integrate data from diverse sources.
Design analytics solutions for both product development and internal collaborators.

🎯 Requirements

Minimum 4 years in data/analytics engineering or software engineering.
Proficiency in Python and advanced SQL.
ETL pipelines, data modeling, and managing data warehouses (Snowflake, BigQuery, Redshift).
Experience with SQL RDBMS (MySQL, Postgres, Oracle, SQL Server) and NoSQL (MongoDB).
Experience with Meltano, dbt, Airflow, and Superset.
Docker, Git, and AWS (EC2, ECS, S3, Step Functions, Athena).

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