AI Engineer - Irving, TX, Charlotte, NC, or Chandler AZ (Hybrid)
Required Qualifications:
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 Google Cloud Platform 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
