04 May
Data Engineer
Vacancy expired!
Razor Talent - Data Engineer
Our client, a Health Insurance firm in NYC is looking for a Data Engineer. The Data Engineer will bring their expertise in designing and developing highly robust, repeatable and scalable workflow patterns to ingest, integrate and publish a wide variety of data from internal and external sources. They will be relentless in their focus on delivery and end ensuring that our data workflows and pipelines are enterprise-grade – reliable, scalable and secure.Responsibilities include:
- Designing, implementing, maintaining highly robust, scalable and flexible ETL jobs and data workflows
- Automating workflows leveraging DevOps framework where applicable
- 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
- Providing insight into the changing data environment, data processing, data storage and utilization requirements for the company and offer suggestions for solutions
- Articulating both the technical implications as well as data usage implications of proposed solutions or solution options to a wide variety of stakeholders.
- Working directly with business users to align solutions with business requirements
- Relentless focus on continuous improvement of solutions in to improve data reliability, efficiency, quality and more
- Create data monitoring capabilities for each business process and work with data consumers on updates
- Collaborating with cross functional teams comprised of technical and business colleagues
- 5 + years’ experience in a data engineering
- Experience in the development of data platforms such as data warehouse, data lakes, data marts etc.
- Proficiency in SQL a must - knowledge of SQL and multiple programming languages in order to optimize data processes and retrieval
- 5+ years’ experience in data programing languages such as Python or Spark
- 5+ years’ experience working in a Big Data ecosystem processing data; includes file systems, data structures/databases, automation, security, messaging, movement, etc.
- 3+ years’ experience working in a production cloud infrastructure
- Prior backgrounds with AWS services (e.g. lambda, S3, Aurora, Redshift);
- Exposure to CI/CD for software systems
- Must be able to develop creative solutions to problems
- Demonstrates critical thinking skills with ability to communicate across functional departments to achieve desired outcomes
- Ability to work independently and as part of a team
- Skilled in Microsoft Office including Project, PowerPoint, Word, Excel and Visio
- Hands on experience in leading healthcare data transformation initiatives from on-premise to cloud deployment
- Demonstrated experience working in an Agile environment as a Data Engineer
- Experience with other Cloud Data Warehouses (Big Query, Snowflake);
- Knowledge of provider-sponsored health insurance systems/processes and the Healthcare industry
- Proficiency with graph and noSQL databases
Vacancy expired!