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snowflake sql python kubernetes databricks📋 Description
- Lead teams in data architecture, data engineering, and analytics.
- Architect data platforms (Lakehouse, DataOps, Data Mesh) on cloud.
- Build scalable data and ML pipelines.
- Define technical scope, model solutions, and mentor juniors.
- Engage in design reviews, backlogs, and release management.
- Drive new business opportunities with clients.
🎯 Requirements
- 8+ years of data pipelines and architecture.
- Lead teams to wrangle and analyze data for insights.
- Strong client-facing, communication, and collaboration.
- Mentor junior resources and guide teams.
- Data governance and privacy expertise.
- Degree in CS/CE/Engineering/Math or MIS.
- Skills: Python, SQL, Spark, Databricks, Airflow, Kubernetes, Snowflake.
🎁 Benefits
- Health, mental health, vision, dental, life insurance.
- Prescriptions, fertility and adoption benefits.
- Paid parental leave, PTO, and 14 holidays.
- Matching 401(k) and Healthcare & Dependent FSA.
- Disability benefits.
- Community service days.
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