Job Description :
Bachelor s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field.
Overall 9 years of experience, 5+ years’ experience of Data Lake/Hadoop platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
Ability to think strategically about business, product, and technical challenges in an enterprise environment.
Experience with analytic solutions applied to the mortgage domain or banking & financial services
Highly technical and analytical, possessing 5 or more years of IT platform implementation experience.
Experience developing data & analytics solutions leveraging end to end AWS Data management technology stack (S3,Kinesis,EMR,Redshift,Glue,Athena,Lambda,Data Pipeline, Cloud Watch, SageMaker and other data/analytics tools
Understanding of Apache Hadoop and the Hadoop ecosystem. Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro
Familiarity with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto
Experience developing software code in one or more programming languages (Java, Python, PySpark, SCALA Current hands-on implementation experience required
Hands on experience leading large-scale global data warehousing and analytics projects.
Ability to lead effectively across organizations.
Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR
Implementing AWS services in a variety of distributed computing, enterprise environments.
Customer facing skills to represent AWS/cloud computing well within the customer s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. Should be able to interact with C level executives, as well as the people within the customer organizations