
1001 - 5000 employees
Founded 20 years
🌍 Social Impact
📱 Media
Social Impact • Media • Entertainment
Social Discovery Group is the world's largest group of social discovery companies, focused on solving the problems of loneliness, isolation, and disconnection through digital reality. With 500 million users across 150 countries, the group boasts over 60 global communication and entertainment platforms. Employing a team of 1200 professionals, the company organizes events that unite a global community of professionals and provides career opportunities for individuals seeking ambitious challenges.
🕒 August 28
🗣️🇷🇺 Russian Required
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1001 - 5000 employees
Founded 20 years
🌍 Social Impact
📱 Media
Social Impact • Media • Entertainment
Social Discovery Group is the world's largest group of social discovery companies, focused on solving the problems of loneliness, isolation, and disconnection through digital reality. With 500 million users across 150 countries, the group boasts over 60 global communication and entertainment platforms. Employing a team of 1200 professionals, the company organizes events that unite a global community of professionals and provides career opportunities for individuals seeking ambitious challenges.
• Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform • Analyze legacy SQL, ETL processes, and business logic and redesign them for the target architecture • Build and maintain scalable batch data pipelines and analytical models • Validate migrated data, investigate discrepancies, and ensure data quality • Work with analysts and business stakeholders to clarify requirements and business logic • Contribute to platform reliability, performance, cost optimization, and engineering practices • Develop and improve AI-assisted engineering automation for Data Engineering workflows, including shared agent harnesses, specifications, reusable skills, evaluation frameworks, and quality controls
• Strong Data Engineering background with advanced SQL and relational databases • Strong hands-on experience with the GCP data stack or another cloud, including BigQuery, Cloud Composer, and GCS • Experience building production ETL/ELT pipelines and analytical data models • Experience deploying, configuring, and operating managed cloud data services, including workflow orchestration, managed/serverless compute, and analytical warehouses • Strong Python skills or another general-purpose programming language, applied across data engineering, platform automation, and analytical workloads • Good understanding of cloud infrastructure concepts: IAM, networking, monitoring, CI/CD, and infrastructure configuration • Experience working with legacy data warehouses and complex business logic • Fluent Russian
• REMOTE OPPORTUNITY to work full-time • Vacation 28 calendar days per year • 7 wellness days per year (time off) • Bonuses up to $5000 for recommending successful applicants for positions in the company • 50% payment for professional training, international conferences, and meetings • Corporate discount for English lessons • Health benefits: compensation of up to $1,000 gross per year per employee for self-purchased health insurance or doctor’s fees for yourself and close relatives (spouse, children), if not eligible for corporate medical insurance • Equipped workplace and necessary equipment in offices or co-working locations • Reimbursement of workplace costs up to $1000 gross once every 3 years for co-working or home-office setup costs • Internal gamified gratitude system with bonuses exchangeable for merchandise, team building activities, massage certificates, etc.
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