Sr. Data Engineer

Data EngineerLocation: San Francisco, CA | HybridWe're looking for a talented Sr. Data Engineer to join our new Data Platform product team. In this role, you will work closely with our 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.Why You Will Love It Here!Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeansYour Future: 401k Matching Program, Professional Development ReimbursementWork/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid HolidaysYour Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental LeaveWide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our EmployeesTraining: Hands-On, Team-Customized, including SS&C UniversityExtra Perks: Discounts on fitness clubs, travel and more!What You Will Get To Do:Design, build, and own the core data models and key infrastructure to manage data and usage across the Eclipse Platform and Data MarketplaceDesign and implement a data quality monitoring system. The system should include source-to-target data validations as well as anomaly detectionCollaborate 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 customersCollaborate with the Engineering, IT, and Security team(s) to meet data governance requirementsBuild dashboards to help Leadership monitor performance, availability, and user behavior of the platformAnswer questions from the leadership team for reporting, publications, and industry reportsThink creatively to find optimal solutions to our complex, often unstructured problemsWhat You Will Bring:Data Expertise: Proficient in data modeling, analysis, and relational database design. Financial setting experience is preferred.Large Datasets: Skilled in processing and extracting value from large, disconnected datasets.Data Pipelines: Experienced in designing and optimizing data pipelines and architectures.Python Proficiency: Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn, nltk, TensorFlow, matplotlib, etc.).Machine Learning: Proficient in Machine Learning, NLP, or deep learning using Python.PySpark: Experienced in working with PySpark.ETL/ELT: Experienced in ELT/ETL development and handling unstructured datasets.Data Warehousing: Knowledgeable in data warehousing and multidimensional data models.Rapid Prototyping: Experienced in rapid prototyping and fast solution delivery processes.Analytics: Skilled in working with large datasets to generate complex analytics for actionable insights.Collaboration: Effective in collaborating across disciplines, departments, and segments.Documentation: Experienced in developing and maintaining ETL-related artifacts such as schemas, data dictionaries, and transforms.Desirable Skills:ETL/ELT Development: Proficient in ELT/ETL development.Machine Learning: Experienced in Machine Learning, NLP, or deep learning using Python.Unstructured Data: Skilled in handling unstructured datasets.Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.Applications will be accepted on an ongoing basis until the position is filled.SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.