Senior GCP Cloud Data Engineer & GenAI
Argyllinfotech
Job title: Cloud Engineer
Loc: NC, AZ, MN, TX(Hybrid)
Onsite 3 days a week - Charlotte, Irving, Minneapolis, Chandler
18-24 plus month
W2 Only (NO OPT's or H1B)
PV: JUDGE GROUP
Summary:
Must Haves: Cloud Engineer, GCP, LangChain or LangGraph
- 5+ years of experience in data engineering including hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team
- 2+ years of hands-on experience developing data flows using Kafka, Flink, and Spark streaming
- 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer
- 2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
- Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics
- Proven skills with data migration from on-prem to a cloud native environment
- Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables
- Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
- Design and implementation of highly scalable and modular data pipelines with built-in data controls for automating data governance
- Familiarity of GenAI frameworks such as Langchain and Langraph to develop agent-based data capabilities
- Dev Ops and CI/CD deployments including Git, Jenkins, Docker, and Kubernetes
- Web based UI development using React and Node JS is a plus
Vacancy posted 1 day ago
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