Azure Data Engineer (Cincinnati)

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