Sr. Data Engineer - Cloud & AI Platform [On-Site]
Core
Design, optimize, and develop data pipelines and machine learning models to support Data and Analytics organization use cases.
Role type
Senior Cloud Data Engineer (AI/ML Platform)
Builds
Reusable Infrastructure as Code (IaC) data pipelines, cloud infrastructure, and AI/ML model deployment frameworks.
Domain
Financial Services / Cloud Data Engineering & AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PySpark, Scala, SQL, Terraform, AWS Glue, Step Functions, Snowflake, Kafka, Sagemaker, EMR, BigQuery, No-SQL, Data Modeling (Star Schemas, Data Vault), Event-based architectures, Microservices, CI/CD, DevOps, Generative AI/LLMs, Prompt Engineering, AI Governance.
Preferred skills
Financial services industry experience, Agile Software Development, Cloud migrations, Enterprise-grade Generative AI solutions, Agent orchestration.
Responsibilities
Design and build data pipelines for big data environments; Develop reusable IaC for cloud infrastructure; Implement event-based architectures for streaming data; Deploy frameworks and microservices to serve data assets; Collaborate with data scientists to support feature engineering and ML model deployment; Ensure data quality and integrity for business use cases; Mentor junior associates on best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities
