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 + 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. 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 + 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 We are committed to providing a fair and accessible hiring process. 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