Data Engineer, Time and Pay Innovation

- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal tools (Datanet, Cradle, QuickSight etc.).
- Build integrations between HR, Time & Attendance and Payroll systems to automate employee hire, schedule, punch and pay.
- Develop new data models and end-to-end data pipelines.
- Improve existing solutions and architect next-generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
- Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.
- Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications.
- Design data integrations and data quality framework.
- Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, and Oracle.
- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.
- Provide technical and thought leadership for Data Engineering and Business Intelligence within the organization.
- Create and implement Data Governance strategy for mitigating privacy and security risks.
- Produce comprehensive, usable dataset documentation and metadata.
- Design and develop operational and analytical reports as per customer needs.
- Evaluate and make decisions around the use of new or existing software products and tools.
- Mentor junior data engineers.

Basic Qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL