Position: Data Engineer
Company: Murano Software
Category: Data Science
Experience required: 3y
English level: upper

About the client:
It is a leading provider of financial security for middle market consumers. With a history of innovation, the company is redefining the life insurance industry with patented products and processes. The client pioneered the use of predictive analytics to streamline the new business process and revolutionize the speed with which policies can be issued.
The client is revolutionizing the life insurance industry to make life insurance more accessible and affordable for everyday Americans. With an integrated marketing, product manufacturing, and controlled distribution system, the enterprise is uniquely positioned for growth.

About the role:
As a key member of the Big Data Analytics team, you will be responsible for creating and operating the Big Data environment that enables to optimize business processes and grow rapidly. You will move and integrate data across multiple disparate systems, aggregate and organize large sets of data in order to enable lead operations, analytics, and predictive modeling. If you would love being an owner-operator of a fast-growing complex online business with modern technology stacks, building analytical and infrastructure solutions, and driving success via analytics, this role is for you!

Responsibilities:
Own the creation and maintenance of company data structures and databases in AWS to support predictive model development, analytics, and business intelligence.
Implement, test, document, and deploy integrations and maintain production readiness for cloud-based technology stack including real-time streaming, batch feeds, and predictions models from multiple cloud-based and on-premise sources.
Take on specific ETL projects to assimilate data from multiple new structured and unstructured data sources in batch or real-time, as appropriate.
Assimilate and implement business rules to process raw data. Set up visualization tools to meet the needs of both cloud and on-premise user community.
Serve as data steward for Analytics team and third-party technology partners.

Position requirements:
Bachelor’s degree in Computer Science, Mathematics, Management Information Systems, Physics, or related field is required.
3+ years of professional data engineer experience working with large data sets and predictive services.
3+ years of professional experience working with SQL and Python with working knowledge PySpark.
Must have hands-on experience with AWS services: Lambda, Athena, Redshift Spectrum, Glue, S3, EKS, EC2, EMR, Kinesis, and RDS.
Knowledge and experience in Big Data and in building Data Pipelines/ETL processes.
Spoken English.