Collaborate with senior engineers to maintain stable and reliable data flows across Development and UAT environments.
Data Warehousing & Modeling
Implement and maintain data models within Amazon Redshift to support reporting, analytics, and NLP-driven query capabilities.
Optimize Redshift COPY operations, data loading strategies, partitioning, and performance tuning processes.
Support normalization, transformation, and enrichment activities to improve data consistency and usability.
Ensure datasets are query-ready for downstream business intelligence and AI-driven consumption.
Data Governance & Quality
Maintain metadata integrity through AWS Glue Data Catalog and support governance processes using AWS Lake Formation.
Implement and enhance data quality validation checks and reconciliation mechanisms.
Ensure adherence to data governance, security, and access control standards.
Monitor and improve data lineage, catalog accuracy, and data discoverability.
Analytics & NLP Enablement
Support implementation and configuration of Amazon QuickSight to enable self-service analytics and NLP-based querying capabilities.
Collaborate with Platform and DevOps teams on QuickSight setup, dataset modeling, security integration, and NLP feature enablement.
Ensure analytics datasets are optimized for performance, accuracy, and business consumption.
Monitoring & Operational Excellence
Analyze application and pipeline behavior using Amazon CloudWatch Logs and monitoring tools.
Support incident analysis, root cause investigations, and performance improvement initiatives.
Contribute to operational documentation, runbooks, deployment procedures, and support guides.
Promote reproducibility, automation, and engineering best practices across the data platform.
Mandatory
AWS
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