Senior Cloud Data Engineer – Remote
Social Discovery Group
Description du poste
About the role
Social Discovery Group is seeking a Senior Cloud Data Engineer to lead the migration of its data products from on‑premise SQL Server to a modern cloud platform. You will work remotely with a global team, shaping the data architecture that powers socially‑focused entertainment applications.
Key responsibilities
- Migrate legacy MS SQL Server workloads to a cloud data platform (GCP or equivalent).
- Analyse existing SQL, ETL processes and business logic, then redesign them for the target architecture.
- Build and maintain scalable batch pipelines and analytical data models.
- Validate migrated data, investigate discrepancies and ensure data quality.
- Collaborate with analysts and business stakeholders to clarify requirements.
- Contribute to platform reliability, performance, cost optimisation and engineering best practices.
- Develop AI‑assisted automation for data‑engineering workflows, including reusable specifications and quality controls.
Required profile
- Strong data‑engineering background with advanced SQL and relational database expertise.
- Hands‑on experience with the GCP data stack (or comparable cloud services) such as BigQuery, Cloud Composer and Cloud Storage.
- Proven track record building production ETL/ELT pipelines and analytical models.
- Experience deploying, configuring and operating managed cloud data services, including workflow orchestration and serverless compute.
- Proficient in Python (or another general‑purpose language) for data‑engineering and automation tasks.
- Solid understanding of cloud infrastructure concepts: IAM, networking, monitoring, CI/CD and infrastructure‑as‑code.
- Experience working with legacy data warehouses and complex business logic.
- Fluent Russian language skills.
Required skills
- SQL
- MS SQL Server
- Google Cloud Platform (BigQuery, Cloud Composer, Cloud Storage)
- Python
- ETL / ELT pipeline development
- CI/CD pipelines
- IAM, networking and monitoring in cloud environments
What we offer
- Full‑time remote work opportunity.
- 28 calendar vacation days per year plus 7 wellness days.
- Referral bonuses up to $5,000 for successful hires.
- Competitive compensation disclosed during recruitment.
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