Requirements

• Strong professional background in Data Engineering with advanced SQL skills and extensive experience working with relational databases.
• Hands-on experience with GCP data technologies or another major cloud platform, with strong practical knowledge of services such as BigQuery, Cloud Composer, and Google Cloud Storage.
• Proven experience designing and operating production-grade ETL/ELT pipelines and analytical data models.
• Experience deploying, configuring, and managing cloud data services, including workflow orchestration, managed or serverless compute, analytical warehouses, and cloud storage.
• Strong Python skills or proficiency in another general-purpose programming language, with practical application across data engineering, platform automation, and analytical workloads.
• Solid understanding of cloud infrastructure concepts, including IAM, networking, monitoring, CI/CD, and infrastructure configuration.
• Experience working with legacy data warehouses, complex SQL environments, and business logic that requires careful analysis and modernization.
• Ability to investigate data issues, identify root causes, validate migrations, and maintain strong data quality standards.
• Strong problem-solving and analytical capabilities, combined with a structured and engineering-focused approach to complex technical challenges.
• Comfortable collaborating with technical and non-technical stakeholders in a distributed, international environment.
• Fluent Russian communication skills.

Benefits

• Fully remote, full-time opportunity with the flexibility to work from anywhere.
• Initial compensation or salary range shared with candidates during the recruitment process before employment begins.
• 28 calendar days of vacation per year.
• 7 wellness days annually for personal, household, or recovery needs.
• Referral bonuses of up to $5,000 for successful candidate recommendations.
• 50% reimbursement for professional training, international conferences, and industry events.
• Corporate discounts for English-language lessons.
• Health support, including reimbursement of up to $1,000 gross per year per employee for eligible employees who do not have access to corporate medical insurance, usable toward health insurance or eligible medical expenses for the employee and close relatives.
• Workplace support, including equipment and workspace resources where available, or reimbursement of up to $1,000 gross every three years toward coworking or home-office costs in other locations.
• Internal gamified recognition program where colleagues can award bonuses that can be exchanged for merchandise, team-building activities, massage certificates, and other benefits.
• Opportunity to work with modern cloud data technologies, AI-assisted engineering automation, and globally distributed technical teams.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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