AVP, Data Engineer (L10)
Core
Design and implement scalable, fault-tolerant data applications on Big Data and Cloud platforms to store and process terabytes of data for Synchrony's fraud teams, utilizing AI and advanced analytics.
Role type
Senior IC Data Engineer (Big Data & Cloud)
Builds
Low-latency fraud analytics applications and modernized data pipelines
Domain
Financial Services / Fraud Analytics / Big Data
Deliverable
production ML models | product features
Required skills
Full lifecycle software development, Big Data technologies, Cloud platforms, AI/ML integration, Data pipeline development, SQL, Python, Scala, AWS services, Spark, Hive, Kafka, Graph Databases, MySQL, Cassandra
Preferred skills
Fraud domain expertise, Cybersecurity experience, Financial Services background, Sensitive data handling in regulated environments, Agile methodology, Automation frameworks
Technologies
AWS (EMR, S3, Glue, Redshift), Bedrock, Sagemaker, Spark, Hive, Kafka, Scala, Python, SQL, Hadoop, Cassandra, Graph Databases, MySQL
Responsibilities
Design and implement scalable data applications on Big Data and Cloud platforms; Partner with architects and data scientists on solution requirements; Resolve problems through evaluation of business and system processes; Conduct daily meetings with technical teams to ensure data solutions meet business goals; Engage in mid-level business partner engagement and inter-group planning; Stay updated on data engineering trends and best practices; Utilize innovative frameworks to promote automation.
Seniority
Senior, hands-on IC