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.

• 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 with lakehouse or data lake architectures and multi-zone storage patterns
• Solid programming skills in Python and/or SQL
• 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 in a large, cross-functional, matrixed enterprise environment
• Strong problem-solving skills and attention to detail
• Familiarity with CLI and infrastructure-as-code tools
• Notice period: immediate to 30 days