Senior Data Engineer

SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.

Job Description

Senior Data Engineer

Locations: San Francisco, CA

Get To Know The Team

SS&C Advent's financial solutions are going cloud, and we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis application used by portfolio managers around the globe. Now our mission and team are expanding, and we are looking for motivated people who want to be part of an exciting growth opportunity in the fintech industry. 

Why You Will Love It Here!  

• Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans 

• Your Future: 401k Matching Program, Professional Development Reimbursement 

• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays 

• Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave 

• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity 

• Training: Hands-On, Team-Customized, including SS&C University 

• Extra Perks: Discounts on fitness clubs, travel and more! 

What You Will Get to Do 

• Join a team that creates a leading cloud platform with the latest big data, cloud-native and machine learning technologies. 

• Build and implement models in a production environment for a revenue-driving product. 

• Create and maintain overall optimal data infrastructure. 

• Assemble large, complex data sets that meet functional / non-functional business requirements. 

• Manage data migrations/conversions and troubleshoot data processing issues. 

• Create the pipeline for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources. 

• Build machine learning functions to help with data automation and data preparation. 

• Work closely with our product team and data warehouse engineers to build analytics tools and dashboards that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 

• Work with other data experts to strive for greater functionality in our data systems. 

• Discover more innovative machine-learning solutions that can drive business values. 

What You Will Bring 

• Passionate about big data and building a platform. 

• Proficient coding skills and strong algorithm & data structure basis. 

• Knowledge of one or multiple of the tools: Hadoop, Spark, Presto, Hive, Kafka, or Airflow.