
Chief Data Systems Architect
16 hours ago
This leadership role is responsible for spearheading the development and optimization of scalable data pipelines using Talend for ETL processes. The successful candidate will oversee the architecture and performance tuning of data systems, including Snowflake and other cloud-based data platforms.
">- Manage data integration from various source systems into a centralized Data Warehouse (DWH) while maintaining data quality and integrity.
- Collaborate with cross-functional teams to identify and implement data solutions.
The ideal candidate should have:
- Talend: Strong hands-on experience with Talend for ETL development and data integration tasks.
- SQL: Advanced proficiency in SQL for data manipulation, querying, and performance optimization.
- Snowflake: Deep experience with Snowflake as a cloud-based data platform, including performance tuning and optimization.
- Data Warehousing (DWH): Strong understanding of Data Warehouse architecture, design, and management.
- Proven experience with data modeling, data migration, and data transformation.
- Strong knowledge of cloud data platforms, preferably AWS, Azure, or Google Cloud.
- Excellent problem-solving skills, with the ability to troubleshoot complex data issues.
- Effective communication and leadership skills, with experience in leading cross-functional teams.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (Master's preferred). Minimum of 5+ years of experience in data engineering, with at least 2 years in a leadership or senior role.
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