Bigdata Engineer

Description

Responsibilities Designs, modifies, implements, tests, and provides operational support for enterprise software products and platforms, including software infrastructure and development tools for Data Platform components and modules in AWShosted environments Engages in building solutions leveraging technologies including but not limited to Scala, Spark, Hive and AWS services such as EC2, S3, EMR, ELB, Kinesis, SNS, Redshift, Data Pipelines Provides consultation on complex projects and is considered to be a toplevel contributor Relies on extensive experience and judgment to plan and accomplish goals according to timelines and budgets agreed upon with business stakeholders Communicates proactively and effectively with team members and other project stakeholders in a highly Agile environment Minimum of 8 years in IT industry with focus on development of complex business systems. Strong knowledge and minimum of 3 years of handson experience with Big Data technologies with data stores such as DynamoDB, Cassandra and related tools and systems Deep technical understanding of Spark, and Hive. Strong background in Scala, relational databases, and complex systems integration. Experience building and supporting complex systems in AWS Cloud environment Experience in data modeling for NoSQL databases Proven experience with AWS services such as Data Pipeline, DynamoDB, CloudFormation, CloudWatch, SNS, IAM, VPC, ELB, EC2, S3 Strong knowledge of continuous integration and deployment, test driven development, and unit test automation Experience in developing of an enterprise product line using AgileScrum development methodologies Excellent verbal and written communication and presentation skills Experience in the Healthcare software or IT industry preferred