Data Engineer

Key Responsibilities:

• Design and implement data pipelines for global and regional data synchronization (Azure SQL, Data Lake, etc.)
• Develop solutions for secure handling of PII and non-PII data, ensuring compliance with GDPR and other regulations
• Build and optimize ETL processes for anonymization, transformation, global synchronization and distribution of data
• Collaborate with software architects and DevOps to integrate data flows with application logic and deployment pipelines
• Set up monitoring, alerting, and documentation for data processes within the existing frameworks
• Advise on best practices for data partitioning, replication, and schema evolution Requirements:
• 4–7 years of experience as a Data Engineer in cloud environments (preferably Microsoft Azure)
• Strong knowledge of Azure SQL, Data Lake, Data Factory, and related services
• Experience with distributed data architectures and data synchronization across regions
• Familiarity with data privacy, security, and compliance (GDPR, etc.)
• Proficiency in Python, SQL, and ETL tools
• Excellent problem-solving and communication skills
• Hands-on and self-contributing

Preferred:

• Experience with MS-SQL, Cosmos DB, Databricks, and event-driven architectures
• Knowledge of CI/CD and infrastructure-as-code (Azure DevOps, ARM/Bicep, Terraform)
• Prior work in global/multi-region data solutions