AWS Data Engineer

Location: Vasanthanagar

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.