Job Summary
The Data Engineer II performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line in RX Global.
The successful candidate will create data architectures, such as databases and large-scale processing systems that are used by our business to monitor, understand, and gain data science-led insights into our global events. The Data Engineer II works as part of a highly motivated, collaborative, enthusiastic, distributed, cross-functional team, using a modern tech stack and agile & develops principles to create data architectures that are of high quality and can be deployed to and used in production with confidence - safely and reliably.
Accountabilities
- Design and develop data pipelines and ETL jobs on AWS Cloud platform based on functional/non-functional business requirements
- Design & implement Data Integration/Ingestion/Extraction solutions based on high level architecture design
- Identify, design, and implement process improvements & delivery optimizations
- Collaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutions
- Develop data lake solutions leveraging new or existing technology to advance the company's business
- Design, upgrade and implement new data workflows, automation, tools and API integrations
- Write and maintain technical documentation
- Perform unit tests and system integration tests
- Work with the team using Agile methodology
Job Specifications
- Bachelor's Degree holder (Engineering/Computer Science preferred but not required)
- Experience dealing with various stakeholders in a global perspective
- 2-4 years experience as a Data Engineer (or related positions) with focus on data processing and/or relational databases
- Experienced with relational databases like MS SQL Server
- Experienced in the following programming/scripting languages: SQL, Python.
- Experienced with AWS Cloud
- Experienced with working on Structured, Semi-Structured, Unstructured datasets
- Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
- Proven stakeholder management
- Proven time and project management skills, experience in Agile Methodology is desired
- Good communication and presentation skills
- Analytical, structured, organized, and proactive
- Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. 
