Data & AI Engineer III (Hybrid)
Core
Design, develop, and implement enterprise-scale cloud data engineering solutions, including Data Lake and Data Warehouse architectures on AWS, to support analytics and business intelligence initiatives.
Role type
Senior IC Data & AI Engineer (Cloud Data Engineering)
Builds
Scalable, secure data infrastructure, complex data pipelines, and integration solutions for analytics and BI.
Domain
Insurance / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
AWS services (Redshift, RDS/Aurora, Glue, Lambda, S3, Athena), Advanced SQL, Python, Big Data technologies (Hadoop, Spark, Presto, Hive), ETL tools (Informatica), CloudFormation, Database performance testing, Capacity planning
Preferred skills
AWS or LOMA Certifications, Life Insurance/Annuity/Financial Services domain knowledge, AWS AI offerings, Data visualization tools
Technologies
AWS Redshift, RDS/Aurora, DMS, Glue, Lambda, Hadoop, Spark, Presto, Hive, Informatica, CloudFormation, S3, Athena, CloudWatch, CloudTrail, IAM, SNS
Responsibilities
Lead and develop robust data engineering solutions; Establish architecture to support current and future business requirements; Mentor team members on Cloud Data Lake and Data Warehouse design; Design and implement Data Security around cloud data infrastructures; Provide support and guidance to Data Services and application development teams
Seniority
Senior, hands-on IC with mentorship responsibilities
