Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)
Core
Design, develop, and deploy resilient, scalable cloud-first data solutions, lakehouse architectures, and real-time streaming data pipelines to deliver hyper-personalized, omnichannel messages and experiences.
Role type
Senior IC Data Engineer (Cloud & Streaming)
Builds
Scalable data platforms and real-time streaming pipelines for marketing and messaging
Domain
Financial Services / Data Engineering / Cloud Infrastructure
Required skills
Python, SQL, Spark, Kafka, Snowflake, Databricks, Data Modeling, Data Pipeline Design, Cloud Architecture, Data Governance
Preferred skills
Scala, NoSQL, UNIX/Linux, Data Orchestration, AI Tooling, Agile Engineering
Technologies
AWS, Spark, Kafka, Snowflake, Databricks, Python, SQL, Scala, MongoDB, Cassandra, DynamoDB, Airflow, Monte Carlo, Splunk
Responsibilities
Architect and build scalable data solutions and lakehouse architectures; Lead and influence cross-functional Agile teams; Implement data security standards and governance; Partner with product managers and engineers to deliver robust solutions; Optimize systems for performance and observability; Leverage interactive AI tooling to accelerate delivery.