Description

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL workflows on AWS
• Work with large-scale structured and unstructured data across cloud and on-premise systems
• Collaborate with business stakeholders to translate requirements into scalable data solutions
• Optimize data processes for performance, reliability, and cost-efficiency

Required Skills

• Programming: Python, SQL
• Databases: Oracle, SQL Server
• ETL/Data Tools: PySpark
• Cloud: AWS — S3, Lambda, Glue, EMR, EMR Serverless, Step Functions, Athena, EC2, CloudFormation Template, SNS Topic

Preferred Skills

• Programming: Java, Scala
• Databases: Snowflake, PostgreSQL
• ETL/Data Tools: Informatica
• AWS (Optional): Glue ETL, Kinesis Datastream, Kinesis Firehose
• AI Tools: AWS Bedrock, AWS Bedrock Agent Core, Kiro, GitHub Copilot
• Build/Deployment: Jenkins, CI/CD Pipeline
• Other: TWS, Tidal, ServiceNow, Jira, Confluence
• Financial services or brokerage industry experience

Key Skills

Education

Bachelor's degree