Job Title - AWS Data Engineer
Relevant Years of Experience - 4+ Years
Location - Bangalore
Notice Period - Immediate to 30 Days
Roles&Responsibilities:
- Design, build, and maintain scalable data pipelines supporting batch, near-real-time, API, and streaming ingestion patterns from enterprise and external data sources
- Develop and optimize ETL/ELT workflows across raw, enriched, and curated data layers within a cloud-based lakehouse environment
- Implement and manage data storage solutions for structured, unstructured, and semi-structured data
- Collaborate with data architects to translate platform designs into reliable, production-grade implementations
- Apply and enforce data governance standards including data quality checks, lineage tracking, classification tagging, and access controls
- Build and maintain reusable data products that serve AI/ML and analytics consumers across multiple business domains
- Monitor pipeline health and implement observability, logging, and alerting practices to ensure data reliability
- Work with orchestration and scheduling tools to automate and manage complex data workflows
- Partner with security teams to ensure pipelines adhere to data classification and compliance requirements
- Contribute to platform documentation, code reviews, and engineering best practices
Job Requirements:
- 4+ years of experience in data engineering, ETL development, or a closely related role
- Strong hands-on experience building data pipelines on AWS cloud platforms
- Proficiency with ETL/ELT frameworks and workflow orchestration tools
- Experience working with lakehouse or data lake architectures and multi-zone storage patterns (landing, raw, enriched/curated)
- Solid programming skills in Python and/or SQL ; familiarity with CLI and infrastructure-as-code tools is a plus
- Experience with structured, unstructured, and semi-structured data processing
- Familiarity with data governance, data quality, and metadata management concepts
- Understanding of streaming and real-time data processing patterns
- Ability to work effectively in a large, cross-functional, and matrixed enterprise environment
- Strong problem-solving skills and attention to detail.
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