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

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