Job Description & How to Apply Below
We are seeking an experienced AWS Data Engineer with 8-12 years of experience in designing, developing, and supporting cloud-native data platforms and ETL solutions on AWS. The ideal candidate will be responsible for building scalable data pipelines, implementing event-driven architectures, automating infrastructure, and enabling reliable data integration across enterprise applications. This role requires strong expertise in AWS Glue, AWS Lambda, Step Functions, S3, Terraform, CI/CD, and Data Engineering best practices.
The candidate will work closely with business analysts, data analysts, and engineering teams to build secure, resilient, and high-performing data solutions that support business-critical analytics and operational workloads.
Role: AWS Data Engineer
Location:
Pune
Experience:
8 to 12 Years
Job Type: Full Time Employment
What You'll Do:
Design, develop, and maintain robust ETL/ELT pipelines using AWS Glue.
Define data extraction, transformation, validation, and loading processes across multiple structured and semi-structured data sources.
Build scalable and reusable data ingestion frameworks for enterprise applications.
Develop data transformation and enrichment workflows to support analytics and reporting requirements.
Implement data quality checks and validation processes within data pipelines.
Ensure data accuracy, consistency, and reliability across enterprise data platforms.
Design and implement AWS Lambda-based solutions for data integration and application support.
Develop serverless architectures to process and transform enterprise data efficiently.
Build scalable event-driven applications leveraging native AWS services.
Support application modernization initiatives through cloud-native technologies.
Optimize cloud-based data processing for performance and cost efficiency.
Orchestrate complex workflows using AWS Step Functions and AWS Lambda.
Design and implement event-driven data pipelines triggered by file arrivals in Amazon S3.
Build automated processing frameworks for batch and near real-time data workloads.
Enable seamless integration between data sources, applications, and analytics platforms.
Ensure fault tolerance, error handling, and operational resilience in workflow executions.
Build and maintain CI/CD pipelines using Git Hub Actions, Jenkins.
Implement Infrastructure as Code (IaC) solutions using Terraform, AWS Cloud Formation.
Automate deployment, configuration, and operational processes.
Support environment provisioning and infrastructure lifecycle management.
Promote Dev Ops best practices for continuous integration and delivery.
Monitor data pipelines, workflows, and cloud resources using Amazon Cloud Watch, AWS Cloud Trail.
Troubleshoot system failures, bottlenecks, and performance issues.
Implement alerting, logging, and observability best practices.
Drive continuous improvements in platform reliability, scalability, and security.
Support production environments and critical issue resolution.
Work closely with Business Analysts and Data Analysts to gather requirements and define technical solutions.
Translate business requirements into scalable data engineering designs.
Participate in architecture discussions, solution design reviews, and project planning activities.
Collaborate with cross-functional teams to deliver end-to-end data solutions.
Leverage AI-assisted development tools responsibly to improve productivity and accelerate delivery.
Expertise You'll Bring:
8-12 years of experience in Data Engineering and Cloud-based Data Platforms.
Strong hands-on expertise in AWS Glue
AWS Lambda
AWS Step Functions
Amazon S3
Python
SQL
Experience designing and implementing ETL/ELT pipelines.
Strong understanding of data integration, transformation, and processing frameworks.
Experience building event-driven architectures on AWS.
Knowledge of serverless computing and cloud-native application development.
Strong understanding of data modeling and enterprise data management practices.
Deep understanding of AWS cloud services and architecture patterns.
Experience with AWS Lambda
AWS Step Functions
Amazon S3
Cloud Watch
Cloud Trail
IAM
Experience implementing scalable and secure cloud-native solutions.
Knowl…
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