Sr. Data Engineer

SS&C•San Francisco, CA

7d•Hybrid

About The Position

SS&C is looking for a talented Sr. Data Engineer to join their new Data Platform product team. In this role, you will work closely with Product, Engineering, Cloud, and Service teams to build best-in-class infrastructure supporting data across the Eclipse and the Data Platform. This is a strategic, high-impact role that will also help shape the future of SS&C Eze products and services.

Requirements

Proficient in data modeling, analysis, and relational database design.
Skilled in processing and extracting value from large, disconnected datasets.
Experienced in designing and optimizing data pipelines and architectures.
Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.).
Proficient in Machine Learning, NLP, or deep learning using Python.
Experienced in working with PySpark.
Experienced in ELT/ETL development and handling unstructured datasets.
Knowledgeable in data warehousing and multidimensional data models.
Experienced in rapid prototyping and fast solution delivery processes.
Skilled in working with large datasets to generate complex analytics for actionable insights.
Effective in collaborating across disciplines, departments, and segments.
Experienced in developing and maintaining ETL-related artifacts such as schemas, data dictionaries, and transforms.

Nice To Haves

Financial setting experience is preferred.
Proficient in ELT/ETL development.
Experienced in Machine Learning, NLP, or deep learning using Python.
Skilled in handling unstructured datasets.

Responsibilities

Design, build, and own the core data models and key infrastructure to manage data and usage across the Eclipse Platform and Data Marketplace
Design and implement a data quality monitoring system. The system should include source-to-target data validations as well as anomaly detection
Collaborate closely with Engineering, Product Management, & IT, to inform product decision making with data and to identify opportunities for system improvements. Including recommendations and innovation for Information architecture and insights that are valuable to our customers
Collaborate with the Engineering, IT, and Security team(s) to meet data governance requirements
Build dashboards to help Leadership monitor performance, availability, and user behavior of the platform
Answer questions from the leadership team for reporting, publications, and industry reports
Think creatively to find optimal solutions to our complex, often unstructured problems