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4 часа назад

Sr. Data Engineer (Python/PySpark)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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