Senior Analytics Engineer- Custom Feeds
Placer.ai
שכר לא צויןRamat Gan, היברידיסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 9 שעות
Own custom recurring data feeds for Placer.ai’s largest customers, from defining requirements and metrics to delivery and maintenance. Build reliable data pipelines and reusable models, while working with customer-facing teams, R&D, and Data Science.
מה תעשו
- Own custom feeds from requirements through delivery and ongoing maintenance.
- Develop methodologies and acceptance criteria for new metrics.
- Build reproducible, tested production pipelines using PySpark on Databricks, Airflow, and Terraform.
- Partner with Solution Engineers and customer-facing teams on timelines, methodology, and customer feedback.
- Build reusable components and packages, collaborating with R&D and Data Science to reuse datasets, models, and products.
דרישות
- 5+ years in data analytics or data research with large-scale datasets.
- 3+ years of hands-on Python and PySpark experience at scale.
- Applied statistics knowledge, including sampling, estimation, bias, coverage, significance, and uncertainty.
- Demonstrated ownership of data quality, including metrics and validations for datasets others depend on.
- Excellent written and spoken English; comfortable presenting to customers.
יתרון
- B.Sc. in a quantitative field; M.Sc., MBA, or academic research experience is an advantage.
- Proficiency with AI-assisted coding tools such as Claude Code, Cursor, or Copilot.
- Experience with Databricks or an equivalent Spark platform, Airflow in production, Terraform/IaC, and Git-based collaborative development.
תנאי סף
- 5+ years in data analytics or data research with large-scale datasets
- 3+ years of hands-on Python and PySpark experience at scale
- Excellent written and spoken English
- B.Sc. in a quantitative field
הטבות
- Competitive salary
- Excellent benefits
PythonPySparkDatabricksApache AirflowTerraformApplied statisticsData qualityGit