Description

Requirements
10+ years of experience in data engineering, big data, or API development, with 3+ years in a leadership role
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 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, Infrastructure-as-Code tools like Terraform or Bicep
Experience implementing data security and compliance for sensitive HR/employee data (encryption, access control, auditing)
Strong problem-solving skills with a focus on performance tuning, security, and cost optimization
Experience with containerization (Docker, Kubernetes) and event-driven architecture (preferred)
Exposure to Informatica for ETL/ELT and data integration

Education

Any Graduate