Job Summary

We are looking for an experienced GCP Data Engineer to design, build, and own scalable data platforms on Google Cloud. The ideal candidate will play an architectural role, driving end-to-end data solutions, defining best practices, and mentoring team members. You will work closely with stakeholders, analysts, and data scientists to deliver reliable, high-performance data pipelines and analytics platforms.

Qualifications:

GCP & Data Engineering

Strong hands-on experience with GCP services such as: BigQuery Cloud Storage Dataflow (Apache Beam) Pub/Sub Cloud Composer (Airflow) Cloud Functions / Cloud Run
Experience designing batch and streaming data pipelines
Expertise in data warehousing and analytics architectures
Advanced proficiency in Python (data processing, orchestration, APIs, automation)
Strong command of SQL (complex queries, performance tuning, analytics use cases)
Experience defining data platform architecture, patterns, and best practices
Strong understanding of data modeling, partitioning, clustering, and optimization
Ability to translate business requirements into technical designs

Why join us?You'll have the opportunity to collaborate on multiple global projects, essentially gaining experience across multiple technologies simultaneously

More reasons to join us:

4.4 Glassdoor Rating
Fully remote work environment
Exposure to cutting-edge technologies and international clients spanning various industries
Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement
Profitable and bootstrapped company
Flexible working hours with a 5-day workweek
Over 30 paid leaves annually
Merit-based compensation with above-average annual increments
Sponsored team luncheons, festive celebrations, and semi-annual retreats

Candidate Source:

Referral

Experience Level:

5+ Years

Senior GCP Data Engineer (Remote)

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