Data Engineer (Cloud) ID52278

About the role

As a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization. You’ll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance. This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.

What you will do

Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;

Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;

Own key data warehouse components including development, deployment, monitoring, and continuous improvement;

Provide technical leadership through data architecture reviews and system design discussions;

Contribute to engineering culture and data-driven best practices;

Support internal and external stakeholders with a focus on data accessibility and usability;

Mentor team members and participate in hiring processes.

Must haves

5+ years of experience in data engineering building scalable systems and pipelines;

Expert proficiency in SQL and strong coding skills in Python;

Hands-on experience with data warehousing, data lakes, and large-scale data systems;

Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems);

Solid understanding of distributed system architecture focusing on availability, reliability, and performance;

Strong focus on execution and product delivery;

Exceptional attention to detail and quality;

Strong communication skills;

Ability to mentor and support other engineers;

Leadership mindset with ability to take initiative and deliver results;

Comfort working in a fast-paced, evolving environment;

Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS;

Upper-intermediate English level.

Perks and benefits

Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.

Job Type: Full-time

Work Location: Remote