Sr. Data Engineer

About the role

SS&C is a leading global provider of mission-critical, cloud-based software and solutions for the financial and healthcare industries. Named to the Fortune 1000 list as a top U.S. company based on revenue, SS&C (NASDAQ: SSNC) is a trusted provider to more than 20,000 financial services and healthcare companies, with over 27,000 employees and operations in more than 35 countries.

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

Requirements

• 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.

Qualifications

• Desirable Skills: ETL/ELT Development, Machine Learning, Unstructured Data

Skills

• Data Modeling
• Database Design
• Data Analysis
• Python Programming
• Machine Learning
• PySpark
• ETL/ELT Development
• Data Warehousing
• Rapid Prototyping
• Large Datasets Processing
• Unstructured Data Handling
• Data Quality Monitoring
• Information Architecture
• Customer Insights
• Leadership Reporting
• Solution Innovation

Benefits

• Medical
• Dental
• Vision
• Employee Assistance Program
• Parental Leave
• Flexible Personal/Vacation Time Off
• Sick Leave
• Paid Holidays
• Professional Development Reimbursement
• 401k Matching Program
• Discretionary Bonus
• Equity Awards

Pay

California: The expected base salary for the position is between 120000 USD to 160000 USD.

Schedule

Hybrid

Application Instructions

Applications will be accepted on an ongoing basis until the position is filled.

EEO Statement

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.