Data Architect
Vor 4 Tagen
Job Description
- Designing and implementing scalable, secure, and high-performance data warehouse solutions on
AWS Redshift
. This includes defining data models, schema design, and cluster configurations. - Optimizing
Redshift query performance
, resource management, and overall cluster efficiency. This might involve query tuning, workload management, and data distribution strategies. - Designing and overseeing the development of Extract, Transform, Load (
ETL
) or Extract, Load, transform (
ELT
) pipelines for data ingestion from various sources into Redshift, often leveraging AWS Glue, Lambda, and other services. - Implementing and managing data security, compliance protocols, and access controls within the Redshift environment and integrated AWS services.
- Working closely with data engineers, data analysts, business intelligence teams, and other stakeholders to understand data requirements and translate them into effective technical solutions.
- Monitoring, troubleshooting, and resolving issues related to Redshift clusters, data pipelines, and data warehousing processes.
- Staying updated with AWS Redshift best practices, new features, and providing technical guidance or mentorship to junior team members
- Good experience on Life science is mandatory
- Good experience on AWS platform is mandatory
-
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