Description:
A leading organization is seeking an experienced Senior Data Ops/Cloud Data Engineer to work on Azure-based data solutions. The role includes cloud data management, database administration, data replication, and performance optimization.
Key Responsibilities:
🔹 Cloud Data Engineering & DataOps:
- Design, develop, and optimize data/database CI/CD pipelines.
- Develop Azure CI/CD release pipelines to manage database changes.
- Implement data provisioning and migration in cloud environments.
- Design and implement data warehouses, data lakes, and data lakehouses.
- Support cloud-based heterogeneous data replication solutions.
🔹 Database Administration & Management:
- Plan, configure, and optimize Oracle, Azure SQL, and Synapse databases.
- Develop complex PL/SQL programs and SQL Server stored procedures.
- Perform database administration, monitoring, tuning, partitioning, and capacity planning.
- Build and test database backup/recovery and automation scripts.
🔹 Data Replication Pipelines:
- Develop data replication solutions for Azure SQL, Oracle, and DB2 databases.
- Monitor, analyze, and provide solutions for incident management.
🔹 Documentation & Support:
- Deliver detailed system design documents following organizational standards.
- Conduct knowledge transfer sessions for internal teams.
Skills & Experience Requirements:
✅ Cloud DataOps (40%)
- Expertise in Microsoft Azure – Azure Pipelines, DACPAC, Storage, Virtual Machines, Azure DevOps, Data Lake, Data Lakehouse, and Monitoring Tools.
- Experience in CI/CD, DataOps best practices, data provisioning automation, and Agile development.
- Strong understanding of data security, structured & unstructured data processing, and data performance monitoring.
✅ Database Management (40%)
- Expert database administration for Azure SQL, Synapse, Oracle, IMS, DB2.
- Extensive experience in developing and optimizing SQL Server Stored Procedures and PL/SQL programs.
✅ Data Replication Pipelines (20%)
- Experience with Azure SQL, Oracle, and DB2 data replication.
Must-Have Requirements:
✔ Expert-level knowledge of Microsoft Azure technologies, including Azure Pipelines, DACPAC, Azure Key Vault, Azure DevOps, and Data Lakehouse.
✔ Proficiency in database administration and SQL development.
✔ Strong experience in cloud-based data provisioning and automation.