Data Engineer
1 day ago
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
- 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
- Translate business logic into structured, testable, and well-documented datasets
used across teams - Collaborate with analysts, engineers, product managers, or other business
stakeholders to align on requirements, definition of events and ownership. - Locate opportunities to improve data and touchpoint analysis by leveraging
consistent identifiers. - Implement and maintain Mixpanel testing strategies amongst product teams to
ensure data accuracy and trust in data. - Participate in code reviews and ensure product teams are instrumenting events per
best practice. - Be part of a governance oversight committee that ensures product teams are
feeding into global analytics platform as per analytics team standards. - Peer review reports and dashboards created by product teams' prior dissemination
to the wider business.
Qualification
- 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
- Familiar with consent management platforms such as OneTrust and Cookiebot and the implications they have on web tracking.
- Solid understanding of marketing technologies (Meta, Bing, Google Ads etc) and acquisition channels (Paid Search, Paid Social etc.)
- Deep understanding of digital analytics principles and experience implementing systems such as Mixpanel, Google Analytics and ContentSquare
- Experience in utilizing analytics tools such as Mixpanel and Google Analytics
- 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 time and project management skills, experience in Agile Methodology is desired
- Good communication and presentation skills
- Analytical, structured, organized, and proactive
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