Data Warehouse Lead Developer
4 days ago
Job Overview
At Jobathon, we are seeking a highly skilled Senior Data Warehouse Lead Developer to join our team. As a key member of our data warehousing department, you will be responsible for designing and implementing data warehouse solutions that meet the evolving needs of our clients.
Key Responsibilities
- Data Warehouse Design & Implementation:
- Design and implement data warehouse solutions, including database design, data modeling, and ETL (Extract, Transform, Load) processes.
- Collaborate with data architects, analysts, and stakeholders to gather and translate data requirements into technical solutions.
- System Management & Performance Tuning:
- Manage data warehouse systems, ensuring optimal performance and scalability.
- Implement disaster recovery plans to safeguard data in case of hardware or software failures.
- Data Integration:
- Develop and manage integration strategies using ETL tools, APIs, web services, and middleware.
- Work with cloud-based platforms (AWS, Azure, MuleSoft, Boomi) to integrate and manage data.
- Data Quality & Governance:
- Ensure data quality, security, and integrity in the data warehouse.
- Create and enforce data governance policies and procedures.
- Technical Support & Troubleshooting:
- Provide technical support and guidance to users accessing the data warehouse.
- Troubleshoot and debug systems to ensure seamless operation.
- Documentation & Best Practices:
- Create and maintain documentation related to data warehouse architecture, data flow, and processes.
- Stay updated on emerging trends and technologies in data warehousing and data management.
Requirements
- Strong expertise in Enterprise Solution Systems (Preferred: QAD).
- Proficiency with tools and technologies such as:
- Database Management Systems: Oracle, SQL Server, MySQL, PowerBI.
- Integration Technologies: ETL, APIs, middleware, web services.
- Cloud Databases and Platforms: Snowflake, AWS, Azure, MuleSoft, Boomi.
- In-depth knowledge of data modeling, data governance, and data warehousing principles.
- Hands-on experience with designing and managing large-scale data warehouses.
- Strong communication skills, with a proven track record of handling overseas clients.
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