Senior Data Engineer in cloud data platforms

Social Discovery Group is a group of social discovery companies that addresses loneliness, isolation, and disconnection. Its portfolio includes social entertainment platforms connecting people online across cultures and regions.

• 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 platform, 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, with experience applying them to data engineering, platform automation, and analytical workloads;
• Good understanding of cloud infrastructure concepts, including IAM, networking, monitoring, CI/CD, and infrastructure configuration;
• Experience working with legacy data warehouses and complex business logic;
• Fluent Russian.

• The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment;
• 28 Calendar days of vacation per year;
• 7 Wellness days per year that can be used for household issues or recovery without taking sick leave;
• Bonuses up to $5000 for recommending successful applicants;
• 50% Payment for professional training, international conferences, and meetings;
• Corporate discount for English lessons;
• Health benefits;
• Up to $ 1,000 gross per year per employee for health insurance or doctor’s fees if not eligible for corporate medical insurance;
• Equipped workplace and necessary equipment in company offices or co-working locations;
• Reimbursement of workplace costs up to $ 1000 gross once every 3 years in other locations;
• Internal gamified gratitude system with bonuses exchangeable for merchandise, team building activities, massage certificates, and other rewards.