Senior AWS Engineer

Data Ingestion & Pipeline Engineering

• Develop, configure, and support data ingestion workflows using

.

• Execute ingestion testing activities and validate data movement across raw, curated, and consumption layers.
• Monitor and support schema discovery, schema inference, and schema drift resolution processes.
• Troubleshoot and resolve data pipeline issues, event sequencing failures, and ingestion bottlenecks.
• 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

to support reporting, analytics, and NLP-driven query capabilities.

• Optimize

, 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

.

• 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

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

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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