Description

Key Skills: AWS, SQL, Java, Python, S3, MySQL, Oracle DB, Parquet, Iceberg, Avro

Good to Have Skills: Snowflake knowledge, financial services industry experience, enterprise-authorized AI-assisted development tools, data serialization formats like JSON-LD, AWS security controls including IAM, service roles, encryption, KMS, Secrets Manager, Lake Formation governance, streaming technologies like Kinesis or MSK, orchestration tools like Airflow or serverless workflows.

Roles & Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond conventional approaches.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity while validating outputs.
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met by software code.
• Apply knowledge of Software Development Life Cycle toolchain including AI-assisted development and automation capabilities to improve automation value.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement.
• Design and deliver trusted data collection, storage, access, and analytics data platform solutions in secure, stable, and scalable way.
• Define database backup, recovery, and archiving strategy for data management and protection requirements.

Experience Required: Formal training or certification in software engineering concepts and 2+ years applied experience. Experience with AWS cloud technologies, hands-on delivery experience building data lakes and pipelines on AWS using various tools and services

Key Skills

Education

Any Graduate