Job DescriptionJob Title - AWS Data Engineer
nRelevant Years of Experience - 4+ Years
nLocation - Bangalore
nNotice Period - Immediate to 30 Days
nRoles&Responsibilities;:
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- Design, build, and maintain scalable data pipelines supporting batch, near-real-time, API, and streaming ingestion patterns from enterprise and external data sourcesn
- Develop and optimize ETL/ELT workflows across raw, enriched, and curated data layers within a cloud-based lakehouse environmentn
- Implement and manage data storage solutions for structured, unstructured, and semi-structured datan
- Collaborate with data architects to translate platform designs into reliable, production-grade implementationsn
- Apply and enforce data governance standards including data quality checks, lineage tracking, classification tagging, and access controlsn
- Build and maintain reusable data products that serve AI/ML and analytics consumers across multiple business domainsn
- Monitor pipeline health and implement observability, logging, and alerting practices to ensure data reliabilityn




- Work with orchestration and scheduling tools to automate and manage complex data workflowsn
- Partner with security teams to ensure pipelines adhere to data classification and compliance requirementsn
- Contribute to platform documentation, code reviews, and engineering best practicesn

nJob Requirements:
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- 4+ years of experience in data engineering, ETL development, or a closely related rolen
- Robust hands-on experience building data pipelines on AWS cloud platformsn
- Proficiency with ETL/ELT frameworks and workflow orchestration toolsn
- Experience working with lakehouse or data lake architectures and multi-zone storage patterns (landing, raw, enriched/curated)n
- Solid programming skills in Python and/or SQL; familiarity with CLI and infrastructure-as-code tools is a plusn
- Experience with structured, unstructured, and semi-structured data processingn
- Familiarity with data govern

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