
Chief Data Architect
6 days ago
About Us
Our organization focuses on developing innovative solutions in data engineering. We aim to deliver scalable data pipelines that enable high-performance analytics and AI-ready data platforms.
Job Details
- Large-Scale Data Pipeline Development: Develop, manage, and optimize large-scale data pipelines using AWS Glue, Spark, and S3.
- Redshift Query Optimization: Optimize Redshift queries, schema, and performance for efficient data processing and analysis.
- Incremental Data Ingestion and Transformation: Support the design and implementation of incremental pipelines and orchestration for data ingestion and transformation.
- Integration and Monitoring: Integrate with upstream APIs and external platforms, ensuring data reliability, observability, and monitoring.
Your Profile
- AWS Expertise: Strong expertise in AWS Glue, S3, and Redshift required.
- Programming Skills: Proficiency in Python, SQL, and Spark is essential.
- Data Warehouse Knowledge: A solid understanding of data warehouse and lake concepts is necessary.
- Experience: Experience with incremental pipelines and orchestration is desired.
- Monitoring and Debugging: Knowledge of monitoring and debugging best practices is a plus.
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