Qualifications:

- Minimum 5 years of experience designing, building, and maintaining data

platforms.

- Proficiency building software systems, testing, and the fundamental principles of

software design (e.g. SOLID).

- Proficiency in Python and experience with data engineering libraries and

frameworks.

- Experience optimizing query performance on cloud data warehouse platforms

and relational databases (e.g. Snowflake).

- Experience with DBT for data transformation.

- Experience with data pipeline orchestration tools (e.g., Airflow).

- Familiarity with DevOps tooling (e.g. Docker, K8S, Helm, Github Actions)

- Familiarity with various components of cloud computing platforms (e.g. AWS).

- Excellent team player with strong communication skills

- Comfortable collaborating with stakeholders and navigating ambiguity to

understand product requirements

- Bachelor’s degree in Computer Science, Engineering and/or equivalent

experience

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Key Responsibilities:

Build key components of our client's rocketship:

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- Design, build, and maintain scalable and reliable data pipelines using Python,

Airflow, and other tools.

- Collaborate closely with data scientists and analysts to understand their

requirements and translate them into efficient data processing workflows.

- Manage and optimize data storage and querying in Snowflake to ensure high

performance and reliability.

- Implement best practices for data governance, security, and privacy.

- Coordinate and participate in on-call rotations

- Develop a culture of high ownership, innovation, empathy, and collaboration

- Make investments in engineering reliability, productivity, and excellence

- Collaborate with stakeholders across the world to drive teams towards high

impact

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