Data Engineer managing payment processing and data accuracy while collaborating with financial teams. Building and optimizing data pipelines for transactional data in a hybrid work environment.
About the role
- Data Engineer focused on building scalable systems for AI-enabled hardware design tools. Collaborating with teams to build data pipelines and optimize applications.
Responsibilities
- Help build systems that are scalable
- Become an expert in data schemas, transforms, and pipelines
- Provide pathways to new features and allow customers to efficiently use the application.
Requirements
- 5+ years of experience in Data engineering, with some of this time working in systems that facilitate ML models
- Experience with data transformation and optimization techniques for scaling applications and ML systems
- Worked in Python to transform data into pipelines using Postgres, Alembic, and SQLAlchemy.
- Strong grasp of SQL and comfortable with optimizing SQL for production.
- Knowledge of orchestrators like Airflow, Dagster, and Temporal
- Comfortable working in startup environment with comfort understanding dataflows across the stack.
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