AWS Data Engineer

Please find the job description below.

Need OR this is with JPMC C2H role

The rate I can pay is $ 55-60 per hour need candidates with 8+ years of experience.

Need Strong AWS experience.

Must-Have Skills

• AWS (Strong Hands-On): Extensive experience with AWS data services, particularly S3, AWS Glue, Lake Formation, Lambda, Step Functions, and AWS CLI.
• Python (Strong): Hands-on Python development, scripting, APIs, and data pipeline development.
• Data Pipeline Development: Experience building production data pipelines from scratch, including ingestion, transformation, and cross-platform data connectivity.
• Database Skills: Strong database knowledge, particularly PostgreSQL and DynamoDB.
• Apache Spark / PySpark: Experience with distributed data processing and data engineering workloads.
• AWS Data Lake: Hands-on experience working with AWS-based data lake environments and data integration.
• CI/CD Pipelines: Experience with Jenkins, Bitbucket, and automated code deployment across environments.
• DevOps Tools: Familiarity with ServiceNow and enterprise code promotion, governance, and deployment processes.
• Hands-On Development: Must be a strong developer capable of independently building AWS Lambda functions and end-to-end data pipelines, not an architecture-only candidate.

Good-to-Have Skills

• Snowflake: Experience working with Snowflake data platforms and integrations.
• Databricks: Exposure to Databricks and interoperability between data platforms.
• Apache Iceberg: Understanding of Iceberg tables, data lake interoperability, and cross-platform data sharing.
• Agentic AI: Basic understanding of AI agents, agent creation, and agentic workflows.
• AWS Bedrock: Basic knowledge of Amazon Bedrock and its integration with AI applications.
• AI Tools: Familiarity with AI tools and their integration into development workflows.
• Google Cloud / Azure: Exposure to additional cloud platforms is beneficial but not required.