Senior Data Engineer

Key Responsibilities

• Design, develop, and maintain cloud-based data pipelines and ETL/ELT workflows.
• Build and optimize data architectures to support structured and unstructured data processing.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
• Implement data quality, security, and governance best practices.
• Monitor and troubleshoot data workflows to ensure high availability and performance.
• Optimize database and data storage solutions for performance and cost efficiency.
• Contribute to cloud adoption, migration, and modernization initiatives.

• Strong expertise with Azure cloud platform.
• Strong experience in Databricks.
• Azure Data Factory proficiency required; building datasets, data flows, and pipelines in ADF (not just maintaining something already built).
• Hands‑on experience with ETL/ELT tools and frameworks.
• Proficiency in SQL, Python, and data modeling.
• Knowledge of CI/CD pipelines and infrastructure‑as‑code tools.
• Understanding of data governance, security, and compliance.

• Exposure to API integration and microservices architecture.
• Strong analytical and problem‑solving skills.
• Azure cloud certifications and/or past experience.
• AKS (Azure Kubernetes Service) experience, and ETL related to applications containerized & deployed on AKS (or EKS).