Data analytics engineer

We are looking for a Data analytics engineer with a strong background in data and analytics, software foundations, and a passion for cutting-edge technology. This role will join one of two dedicated data streams under the leadership of the Data Lead, working on developing and maintaining the core infrastructure and creating user-facing and internal data products. The ideal candidate will bridge the gap between data analytics and data engineering, providing robust data pipelines, tools, and dashboards, and collaborating closely with internal stakeholders to translate business and technical requirements into concrete data solutions.

What We Offer

The benefits, resources, and opportunities we offer to support a positive work experience and long-term growth are listed below:

• Opportunity to work with massive, real-world data streams protecting millions of devices.
• A collaborative environment with strong mentorship from senior team members.
• Flexibility in role alignment based on your experience (Platform vs. Product focus).
• Salary, benefits, and perks.

What We Expect

The qualities, work ethics, and standards we expect to maintain a productive and respectful workplace are listed below:

• Data & Analytics Background: Experience (preferably at least 1-2 years) as a Data Analytics Engineer, Data Engineer, or a Data Analyst with strong technical/engineering capabilities (e.g., building dashboards, analyzing complex datasets, and designing data flows).
• Software Foundations: Strong understanding of software engineering best practices.
• Core Tech Stack: Python, AWS and Version Control (Git/Github).

Responsibilities

This opportunity is for motivated, responsible individuals eager to learn and thrive in a team-oriented environment, who possess the qualities mentioned below:

• Bridge the gap between data analytics and data engineering by building robust data pipelines, tools, and dashboards.
• Provide tools, infrastructure, and curated datasets that enable other product and business teams to draw actionable insights.
• Collaborate closely with internal stakeholders to translate business and technical requirements into concrete data solutions.

How to Apply?

If you are interested in joining the team and taking the next step in your professional journey, please follow the instructions below to submit your application.

Please provide your updated resume, relevant documents, and any other requested information. Applications will be reviewed carefully, and suitable candidates will be contacted for the next steps in the selection process.

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