QUALIFICATIONSBachelor's Degree At least 7 years of experience in application development (Internship experience does not apply) At least 4 years of experience in big data technologies At least 4 years' experience with cloud computing using AWS 4+ years of experience in application development including Python, SQL, Scala, or Java 4+ years' experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, MySQL etc.) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift) 6+ years of experience with UNIX/Linux including basic commands and shell scripting 7+ years of experience with Agile engineering practices 7+ years of experience with SQL optimization 4+ years of experience with PySpark 3+ year of experience with process orchestration including AirFlow, KubeFlow, AWS step functions, or Luigi Preferred Qualifications: Proven experience implementing Generative AI, LLM data preparation pipelines, and Vector Databases (e.g., Pinecone, Milvus, pgvector). Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice Educate and develop ETL developers on data engineering cloud-bases initiatives to enable transition to data engineer and practice Assures the integrity and accuracy of the corporate data, with particular attention to data security.