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Migrate data products and analytical workloads from legacy systems to a modern cloud data platform. Build and maintain scalable batch data pipelines while ensuring data quality and performance optimization.
Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for Senior Data Analyst to join our main product team.
Your main tasks will be:
- 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
We expect from you:
- Strong Data Engineering background with advanced SQL and relational databases.
- Strong hands-on experience with the GCP data stack (or any other Cloud), including deep practical knowledge of managed services such as 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) and experience applying them 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
What do we offer:
Sounds good? Join us now!
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