Azure Data Engineer

5-7 years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role.

• Should have databricks Certification

• Proven experience leading product-centric data engineering initiatives in an agile delivery environment.

• Expertise in Azure Databricks, Apache Spark, Azure SQL, and other Microsoft Azure services.

• Strong programming skills in Python, Scala, and SQL for data processing and API development.

• Experience in building and managing APIs (REST, GraphQL, gRPC) and microservices.

• Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Delta Lake.

• Proficiency in CI/CD pipelines, Terraform/Bicep, and Infrastructure-as-Code.

• Experience with data security and compliance measures (e.g., encryption, access control, auditing) for sensitive HR and employee data.

• Strong problem-solving skills, with a focus on performance tuning, security, and cost optimization.

• Experience with containerization (Docker, Kubernetes) and event-driven architecture is a plus.

• Exposure to Informatica for ETL/ELT and data integration