Azure Data Engineer

Must-Have**

(Ideally should not be more than 3-5)

4+ years of relevant experience in Pyspark and Azure Databricks.
Proficiency in integrating, transforming and consolidating data from various structured and unstructured data sources.
Good experience in SQL or native SQL query languages.
Strong experience in implementing Databricks notebooks using Python.
Good experience in Azure Data Factory, ADLS, Storage Services, Synapse, Serverless architecture, Azure functions.

Good-to-Have

Strong knowledge of Data management principles.
Good experience in SSIS/ETL transformation processes.
Experience in Azure DevOps and CI/CD deployments
Strong problem solving and analytical skills.
Experience with Agile development methodologies.

Microsoft Azure certifications (such as DP203) are preferred.