המקום בו המומחים והחברות הטובות ביותר נפגשים
In this role, you will own the end-to-end development of data engineering solutions, playing a critical role in strategic decision-making. You will work with relational database management systems, develop key business questions, onboard new datasets, and analyze data.Key job responsibilities
- Ensure compliance with data governance and regulatory requirements, implementing data lineage tracking, auditing, and monitoring mechanisms.- Monitor and manage running queries on the cluster, optimize resource utilization, and develop solutions for Redshift cluster optimization.
- Evaluate data retention requirements, implement archiving and purging strategies, manage dataset migrations, and design solutions for backfilling new datasets.
- Identify and create curated datasets, ensuring data quality and documentation, and provide tools for stakeholders to utilize these datasets.
- Standardize data inputs for tools under development and provide Data Engineering support.
- Establish access controls and guardrails to prevent unauthorized or inefficient use of cluster resources.
- Generate complete, reusable metadata and dataset documentation.
- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.
- Determine best practices for creating data lineage from a range of data sources by analyzing source data systems. data sources.
- Build and support a modern data architecture that integrates a wide range of available AWS data technologies
- Design and implement scalable data infrastructure and pipelines on AWS to provide efficient data access and storage for LLM-powered chatbot development
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
משרות נוספות שיכולות לעניין אותך