Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Big Data Engineer working within the Big Data Team using cutting edge technologies to collate data across different sources. Supporting an event driven micro service lambda architecture for a Tier 1 Platform.
Responsibilities
- Participate in all agile scrum meetings such as daily standups, refinement sessions, retro sessions, etc
- Maintaining the data platform by means of daily reconciliations, data reloads, tackling support tickets, etc.
- Being able to come up with new ideas to improve existing products and services.
- Implementation of bug fixes and enhancements within the data platform.
- Performing code reviews for other engineers.
- Taking ownership of releases where necessary
- Being able to communicate with the respective stakeholders, making sure that all information is transmitted correctly and to the right audience.
- Take ownership of complex, large-scale initiatives, including data migration projects, ensuring successful planning, execution, and delivery.
Requirements
- Object oriented programming (Java)
- Data modelling using any database technologies
- ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi
- Applied understanding of CI\CD in change management
- Dockerised applications
- Used distributed version control systems
- Hold a Bachelor’s Degree in Computer Science or equivalent
- Can collaborate in scoping exercises
- Mentoring skills
- Have worked with both Linux and Windows environments.
- Unix/Linux
Benefits
- Great career development opportunities
- 100% remote or hybrid working model
- International Health Insurance
- Health and Wellbeing Package (350 EUR per year)
- Birthday Day Off
- Me Time - 1 day off per year
- Lunches in the office for free
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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