Skills Required :
- DACPAC, Oracle, PLSQL, SQL Server, Stored Procedure, DB2, IMS, Oracle DB, Microsoft Azure SQL database, Synapse database
- PL1 development, Azure Key Vault, Portal, VM, DevOps, Data Lake, Data Lakehouse, Data Pipeline Development
- Scripting Languages: Python, SQL
- DevOps Practices, ETL Processes, Cloud Platform Expertise, Data Warehousing Solutions, Containerization (Docker, Kubernetes), Version Control Systems (Git)
HM Note: This hybrid contract role requires three (3) days in office. Candidates must include their first and last name in their resume.
Description
Scope of Services and Deliverables include:
- Review project, work request, and maintenance release artefacts (Use Case, System Requirement Specification, etc.).
- Deliver detailed system design documents and supporting documentation per Ministry standards.
- Design, develop, and optimize data/database CI/CD pipelines.
- Design logical and physical data models using Sybase Power Designer.
- Prepare database changes in DACPAC and develop Azure CI/CD release pipelines.
- Promote database changes through various environments (Dev, Test, QA, UAT, Production).
- Provision data in cloud environments as required.
- Design, develop, and implement data conversion for Very Large Data (VLD) in OLAP and OLTP environments to Cloud SaaS, PaaS, and IaaS environments.
- Design, develop, and implement fact/dimension models, data mapping, data warehouse, data lake, and data lakehouse.
- Manage and tune performance of Oracle, Azure SQL, and Synapse databases.
- Develop and optimize complex Oracle PL/SQL programs and SQL Server stored procedures.
- Monitor incidents and provide timely resolutions.
- Administer reference data, build/test backup and automation scripts, perform database administration tasks.
- Document and resolve database issues, and transfer knowledge to staff.
Skills and Experience Requirements
- Expertise with Microsoft Azure technologies, including Azure pipeline, DACPAC, storage, disk, file share, key vault, portal, VM, DevOps, Data Lake, Data Lakehouse, monitoring tools.
- Experience with cloud data platforms, data management, and data exchange tools.
- Proficiency in data pipeline development, orchestration, deployment, automation, and DataOPS principles.
- Experience with CI/CD, data provisioning automation, digital products, data analysis, and security.
- Handling structured, semi-structured, and unstructured data collection, ingestion, and exchange development.
- Performance monitoring and tuning of DataOPS.
Database Management (40%)
- Extensive experience with database administration, including Azure SQL, Synapse, Oracle, IMS, DB2.
- Proficiency in SQL Server Stored Procedures, Oracle PL/SQL, PL/1 development, and performance tuning.
- Experience with data replication across Azure SQL, Oracle, IMS/DB2.
Must Have:
- Expertise in Microsoft Azure technologies as listed above.
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