Cloud Engineer

• Design, implement, and operate scalable, cloud-native data pipelines and platform components on AWS.
• Build and maintain ETL/ELT workflows, data lakes, and data mesh components.
• Develop, optimize, and troubleshoot PySpark-based data processing jobs for large-scale and time-series datasets.
• Design and manage data schemas, tables, permissions, and metadata using AWS Glue Data Catalog and Lake Formation.
• Develop and maintain AWS Glue Jobs for data ingestion, transformation, and orchestration.
• Build and support event-driven architectures leveraging AWS Lambda, SNS, SQS, and Step Functions.
• Integrate internal and external systems through APIs using AWS API Gateway and related services.
• Monitor platform health, performance, and operational metrics using Amazon CloudWatch.
• Ensure efficient, reliable, secure, and cost-effective data processing across the platform.
• Contribute to Infrastructure as Code, CI/CD pipelines, and automated deployment processes.
• Collaborate closely with data platform, analytics, and product teams in an Agile (Scrum) environment.

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AWS Engineer – Data Platforms