AWS Data Engineer

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.