4 часа назад
Sr. Data Engineer (Python/PySpark)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Data Engineer (Python/PySpark): Building core data models, ingestion pipelines, data quality monitoring, and analytics infrastructure for the Eclipse Platform and Data Marketplace with an accent on large-scale data processing, governance, and machine learning. Focus on designing source-to-target validations, anomaly detection, dashboards, and data architectures for complex structured and unstructured datasets.
Location: San Francisco, CA — Hybrid
Company
SS&C is a financial services and healthcare technology company headquartered in Windsor, Connecticut, with more than 27,000 employees across 35 countries.
What you will do
- Design, build, and own core data models and infrastructure for the Eclipse Platform and Data Marketplace.
- Develop data quality monitoring with source-to-target validation and anomaly detection.
- Build and optimize data pipelines, ingestion tools, and data architectures for large and unstructured datasets.
- Collaborate with Product, Engineering, Cloud, IT, and Security teams on product decisions, system improvements, and data governance.
- Create dashboards for monitoring platform performance, availability, and user behavior.
- Prepare reporting, publications, and industry insights for leadership.
Requirements
- Proficiency in data modeling, analysis, relational database design, data warehousing, and multidimensional data models.
- Expertise in Python for data ingestion, web scraping, external APIs, and data science packages.
- Experience with PySpark, ELT/ETL development, data pipelines, and large disconnected or unstructured datasets.
- Proficiency in machine learning, NLP, or deep learning using Python.
- Experience with rapid prototyping, complex analytics, and generating actionable insights.
- Ability to collaborate across disciplines and maintain ETL artifacts such as schemas, data dictionaries, and transformations.
Nice to have
- Experience in a financial services setting.
- Additional expertise in machine learning, NLP, deep learning, or unstructured data.
Culture & Benefits
- Hybrid work model and business-casual dress code.
- 401(k) matching program, medical, dental, and vision coverage.
- Flexible personal and vacation time off, sick leave, paid holidays, and parental leave.
- Professional development reimbursement and customized hands-on training through SS&C University.
- Employee assistance program and discounts on fitness clubs, travel, and other services.
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