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Data Engineer
1 month ago
Job Summary:
The Data Engineer 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 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.
Responsibilities:
- Design and develop data pipelines and ETL jobs on AWS Cloud (or Azure) 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.
- Resolve basic technical issues as necessary.
- Keep abreast of new technology developments.
Qualifications:
- Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience 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 or Azure.
- 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.
- Knowledge of software development methodologies (e.g., Agile, Waterfall).
Non-negotiable requirements:
- MS SQL Server
- SQL
- Python
- AWS Cloud or Azure
- API Integration experience