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Duties and Responsibilities:

Designing, implementing, deploying and maintaining highly robust, scalable and flexible data pipelines using AWS Services Glue, Redshift, Lambda, RDS, S3, IAM, CloudFormation etc. Experience with development of ETL solutions on Spark framework. Automating workflows leveraging DevOps framework (CI/CD/CT) where applicable. Experience in understanding of Dimensional data models and Data mapping documents. Ensuring quality of technical solutions as data moves across Healthfirst environments. Working with solution and data architects to develop, construct, test and maintain architectures, prototypes and design solutions. Helping to maintain the integrity and security of the company data. Ensures managed analytic assets support Healthfirsts strategic goals by creating and verifying data acquisition requirements and strategy. Relentless focus on continuous improvement of solutions in to improve data reliability, efficiency, quality and more. Working with solution and enterprise architects to collaborate on research for industry best practices, new features and improvements to existing practices and design.

Minimum Qualifications:

6 - 8+ years of Data Engineering experience in a Production cloud infrastructure AWS services - Glue, Redshift, RDS, CloudWatch, CloudFormation, S3, IAM etc. 5+ years experience working in a Big Data ecosystem processing data; includes file systems, data structures/databases, automation, security, messaging, movement, etc. 4+ years of experience in development in Python. Experience in translation of Data mapping documents into PySpark ETL code compatible to be able to run on Glue. Hands on work with Amazon Web Services, including creating Redshift and PostgreSQL data structures, accessing them with Spectrum and storing data in S3. Proficiency in Python and SQL is a must.

Preferred Qualifications:

Bachelors Degree or Masters degree from an accredited institution. Experience in a production cloud infrastructure AWS services - Lambda, EMR, SNS, SQS, Kinesis etc. Demonstrated experience working in an Agile environment as a Data Engineer using VersionOne Software and/or Kanban experience. Hands on experience in leading healthcare data transformation initiatives from on-premise to cloud deployment. Experience in ServiceNow for deployment of solutions for release in Production. Experience in Source Code management tools like Git, build and Deploy tools like Bamboo or Jenkins. Experience in Scheduling tools like Control-M.