You will design, implement, and maintain data solutions using Azure cloud services to support analytics and business intelligence.
Responsibilities
- Develop and optimize ETL processes and data pipelines.
- Write and modify scripts and SQL queries to manage data flows.
- Ensure data quality, security, and scalability across the data architecture.
- Implement security protocols including identity and access management, encryption, and secure serverless architectures.
Required Skills
- Databricks Certified Data Engineer Associate certification (mandatory).
- 5+ years of experience in data engineering.
- Hands-on experience with Databricks and Data Lake.
- Proficiency in Python and SQL.
- Experience with Azure Data Factory.
- Experience with Power BI.
- Knowledge of SSIS.
- Understanding of Azure network security and secure data communication.