Contd from H.8 In lieu of a Bachelors degree and 10 years of experience, employer will accept a Masters degree or equivalent in Computer Science, Information Systems, Mathematics, Engineering Mechanical, Biomedical, Electrical or a related field and 8 years of experience in information technology.br br Contd from H.12 Job requirements are normal for the employer due to the complexity of job duties associated with this position. Employer answered no to Question H.12 based on SVP analysis only.br br Work experience to include 1. Eight years of experience in data architecture working with crossfunctional teams within IT or within the business on enterprise level system implementations. 2. Four years of experience of full cycle AWS Data Lake platform implementation and performance tuning. 3. Working with AWS data lake services including at least 4 of the following Amazon Elastic Compute EC2, Amazon Data Pipeline, Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service RDS, Amazon Elastic Map Reduce EMR, Amazon Kinesis, and Amazon Redshift. 4. Working within Apache Hadoop and Hadoop ecosystems. 5. Working with at least one of the following tools Sqoop, Flume, Kafka, Oozie, Zookeeper, HCatalog, or Solr. 6. Using the following database and analytical technologies MPP and NoSQL databases, Data Warehouse design, ETL, BI reporting and Dashboard development. 7. Working with at least one of the following SQLonHadoop technologies Hive, Impala, Spark SQL, or Presto. 8. Developing software code in at least one of the following programming languages Java, JavaScript, Python, Ruby, or JSON. 9. Developing data lake architecture and data lake strategy within a matrixed global business environment. 10. Utilizing best practices related to data lake, data lake governance, data Security HITRUST, and data integration and interoperability. 11. Experience with Agile framework and DevOps. Any and all experience can be gained concurrently.br Hiring requirements Drug TestingScreening, Background Check.
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