Vacancy Description
Responsibilities
Lead the architecture, design, and development of data warehousing solutions.
Provide technical guidance and mentorship to the data engineering team.
Ensure best practices in data warehousing, ETL / ELT processes, and data integration.
Design, develop, and optimize ETL / ELT pipelines using industry-standard tools.
Ensure data accuracy, integrity, and consistency across data sources.
Monitor and troubleshoot ETL / ELT processes to ensure timely and accurate data loading.
Implement and manage data warehousing solutions using Snowflake.
Utilize AWS Glue for data integration and ETL / ELT tasks.
Optimize data storage and retrieval processes to enhance performance.
Apply AI/ML concepts to extract insights from large datasets.
Integrate AI solutions like Cortex AI/AWS Bedrock into the data warehousing envi...
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