Google Cloud Platform Data Engineer

The Bridge Ltd
Charlotte, NC, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Big Data BigQuery Cloud Computing Cloud Database Information Engineering Design of User Interfaces Python (Programming Language) Node.Js Software Tools
+15 more
Data Streaming Web Applications Google Cloud Azure Data Factory ReactJS Prompt Engineering Apache Spark Pyspark Apache Flink Data Analytics Apache Kafka Spark Streaming Data Management Data Lakehouse Data Pipelines

Job description

developers and product teams in a collaborative environment. Responsibilities: In this role you 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 Required Qualifications: 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 years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 3 years of experience with Data lakehouse architecture and

Requirements

Experience with Spark, PySpark, Python, Data Lakehouse architecture, Kafka , Airflow , GCS, Big Query, Cloud Composer, Web based UI development using React and Node JS is a plus

Software Engineer - AI Cloud Native Data Engineering Are you looking for a chance to be part of a high performing team that is passionate about data, 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 Desired Qualifications: Proven experience using AI to auto-generate data engineering related code context engineering and prompt engineering Deep background on cloud-based data lakes and warehouses and automated data pipelines Public cloud certifications such as Google Cloud Platform Professional Data Engineer Azure Data Engineer or AWS Specialty Data Analytics

About the company

We are looking for someone to join our team to help enable solutions for the next generation of data analysis while working in a fast-paced environment that fosters growth and development. If this sounds like you we want to hear from you. We are currently seeking a Lead Cloud Data Platform Engineer to apply deep technical skills to create data products develop AI-based automation tools and build a world-class cloud analytics capability for Wells Fargos Cyber Security Data Ecosystem on a Hybrid cloud. The successful candidate will continually innovate and pioneer the use of new technologies and drive adoption of these amongst a team of talented data engineers. You will be an integral part of our migration from our on-premises systems to the Google Azure cloud. You will be a vital member of an agile team helping to lead the design and hands-on implementation of modern data processing capabilities. This is a visible role that allows you to share your knowledge and skills with other

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