Develop and maintain scalable ETLdata pipelines using Databricks SQL and Python on Azure Cloud
Design and implement data integration workflows across structured and unstructured sources within the AMDM domain
Collaborate with data architects and business teams to translate requirements into efficient data solutions
Ensure data quality consistency and integrity across systems
Monitor troubleshoot and optimize data workflows in Azurebased environments
Leverage Azure services like Azure Data Factory Azure Data
Lake Azure Synapse and Azure Key Vault as part of solution delivery
Qualifications
Handson experience in Data Engineering or ETL development
Strong proficiency in Databricks for distributed data processing and transformation
Advanced skills in SQL and Python for building and automating data workflows
Solid working experience with core Azure Data Services
Experience with relational and nonrelational database technologies eg SQL Server PostgreSQL Oracle
Familiarity with Stibo or similar Master Data Management MDM tools
Any Gradute