Data Engineer

Experience: 4-7 Years Experience

About the Role:

We are seeking an experienced Data Engineer to design, implement, and optimize a global data handling and synchronization solution across multiple regions. You will work with cloud-based databases, data lakes, and distributed systems, ensuring compliance with data residency and privacy requirements (e.g., GDPR).

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