Lead Data Engineer - Azure Databricks
Lead Data Engineer - Azure Databricks
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Job Description
We are looking for a skilled and experienced Data Engineer to join our team and contribute to enhancement work in the Advanced Master Data Management (AMDM) space. The ideal candidate will have 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 ETL/data 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 (e.g. SQL Server PostgreSQL Oracle).
Familiarity with Stibo or similar Master Data Management (MDM) tools.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
