TITLE IS: BIG DATA ENGINEER (not software engineer)

•    8 + years of professional experience
•    3+ years of experience with Big data technology and analytics
•    3+ years of experience in ETL and ELT data modeling
•    Experience working with traditional warehouse and correlation into hive warehouse on bigdata technologies
•    Experience setting data modeling standards in Hive
•    Proficiency in using query languages such as SQL, Hive
•    Experience with streaming stacks like Nifi, Spark and PySpark
•    Experience working with ELK stack or Solar indexing
•    Understanding of data governance, bigdata security like kerberos, ranger
•    Knowledge of setting standards around data dictionary and tagging data assets within datalake for business consumption.
•    Understanding of Big Data tools (e.g., NoSQL DB, Hadoop, Hbase) and API development consumption.
•    Understanding of data preparation and manipulation using Datameer tool
•    Knowledge of SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment
•    Experience with Hadoop/Hive, Spark and Scoop highly desirable
•    Experience in one or more languages (e.g., Python or Java, Groovy)
•    Experience with data visualization tools like Tableau, Power BI