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MassMutualQuantitative Data Engineer
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
About the role
- 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.
Requirements
- Bachelor’s Degree in Computer Science, Information Systems or other STEM field
- 5+ years of experience in data engineering or a related field required
- Proficient coding skills and strong algorithm & data structure basis
- Knowledge of one or multiple of the tools: Hadoop, Spark, Presto, Hive, Kafka, or Airflow
- Skills in transforming data, developing data structures, building a metadata store, and setting up data pipelines or data workflows
- Experience in getting data through API with Python or other programming languages such as JavaScript, Java, C#, Scala, etc
- Strong problem-solving skills with a can-do attitude
- Great software engineering best practices with git and version control systems
- Solid communication skills to explain complex data pipelines to both technical and non-technical people
- Excellent writing and documenting skills
- Self-starter and self-motivated.
Benefits
- 401k Matching Program
- Professional Development Reimbursement
- Flexible Personal/Vacation Time Off
- Sick Leave
- Paid Holidays
- Medical, Dental, Vision
- Employee Assistance Program
- Parental Leave
- Discounts on fitness clubs, travel and more!
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