Related skills
aws snowflake sql python databricks📋 Description
- Lead by example in AI-accelerated engineering practices.
- Mentor junior engineers and analysts with AI-assisted workflows.
- Lead technical discussions with architects, PO, and stakeholders.
- Foster speed, experimentation, and continuous improvement in data.
- Design, build, and maintain scalable data pipelines and warehouses.
- Own end-to-end data solutions from ingestion to analytics-ready datasets.
🎯 Requirements
- 5+ years delivering data engineering in enterprise
- Strong SQL, Python, PySpark; AI-assisted development
- Hands-on use of AI tools in analytics/engineering workflows
- Databricks and Snowflake on modern data platforms
- Cloud deployments on AWS or Azure
- Orchestration, ETL, and BI with Airflow and Power BI
🎁 Benefits
- An opportunity to join a fast-growing company
- Learning and development opportunities
- Flexible working environment
- Career advancement opportunities
- Competitive salaries based on experience
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