Job Description
Job Description:
Strong handson experience with Databricks SQL and Python and must possess practical expertise in Azure Cloud services You will play a key role in designing developing and optimizing scalable data pipelines and solutions to support enterprisewide data initiatives
Responsibilities
- 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
- 6 years of 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
Job Tags
Work experience placement,