Data Engineer

Hello,

I hope you are having a great day.

My name is Manikandan Ravi, working as a Account Manager with Themesoft, a consulting company

We have a job requirement with a leading company which may interest you.

I have shared the requirement details below for you.

It would be great If I get a chance to connect with you and share more information about the job.

If interested, please let me know a good time and number to reach out to you and I will be glad to explain more on this job.

• Data Engineer
• LOCATION - (Preferred) CHANDLER, CHARLOTTE, MINNESOTA, LAS COLINAS
• Contract
• Hybrid
• 229597-1
• 12+ Months

Job Description:

• Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
• Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
• Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
• 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
• 3 plus years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer
• Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
• Must Have:
• GCP - 5 to 6 years.
• AI exposure - 6 months to a year
• Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
• 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
• 3 plus years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
• Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
• In this role candidates will:
• Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
• Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
• Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority

Thank you for taking the time to read this email.