Related skills
sql postgres python tableau databricks📋 Description
- Own the data engineering architecture and AI-readiness at Blink.
- Design/build/evolve data pipelines, models, and warehouses for analytics.
- Improve data quality, freshness, and usability for AI systems.
- Lead design/refactor of large data warehouses and ETLs; automate patterns.
- Mentor data engineers and raise team technical maturity.
- Translate business needs into scalable data solutions with AI features.
🎯 Requirements
- 8+ years in data or software engineering with production-grade data systems.
- Strong data engineering: dimensional modeling, incremental ingestion, distributed processing.
- Build robust ETL pipelines with SQL, Python, Databricks, Spark, DBT.
- Design/operate columnar data warehouses for analytics and AI readiness.
- Hands-on with batch/streaming data systems: Airflow, Databricks/Spark, Postgres.
- Integrate data platforms with BI tools for AI/ML consumption (Tableau).
- Modern infra and DevOps: Terraform, Docker, Kubernetes.
- Continuously improve data systems to scale AI capabilities.
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