Job Title - AWS Data Engineer Relevant Years of Experience - 4+ Years
Notice Period - Immediate to 30 Days

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 workplace
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
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 ; 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
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📌 Data Engineer - Python, SQL (Bengaluru)
🏢 Objectways
📍 Bengaluru