Noida Sector 16 Noida Uttar Pradesh Storage developer backend Jobs – 50 Open Jobs Today

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Barco —Noida, Uttar Pradesh
- Computer Science
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Conduent Business Services India LLP —Noida, Uttar Pradesh
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Flexsin —Noida, Uttar Pradesh
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Senior Developer 2 for Non-Authoring Backend Logic
Alight —Noida, Uttar Pradesh
- Databases
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Senior Software Engineer - Backend
Microsoft —Noida, Uttar Pradesh
- Full-time
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1d
Technical Lead
Infinite Computer Solutions Ltd. —Noida, Uttar Pradesh
- Azure
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Full Stack Mobile App Developer (Flutter / React Native)
CSG Technosol Pvt Ltd —Noida, Uttar Pradesh
- ₹2,40,000 - ₹10,00,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
Quick apply
Android Developer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
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- Databases
Quick apply
App Dev & Support Engineer II
Conduent Business Services India LLP —Noida, Uttar Pradesh
- Email
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12d
App Dev & Support Engineer I
Conduent Business Services India LLP —Noida, Uttar Pradesh
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Technical Lead
Netweb Technologies —Faridabad, Haryana
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Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
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R1 RCM, Inc. —Noida, Uttar Pradesh
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Principal Software Engineer - Backend
Microsoft —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Java
- C++
1d
Mobile App Developer (ios, React)
SynapseIndia —Noida, Uttar Pradesh
- Day shift
- Computer Science
- Software troubleshooting
- Bachelor's degree
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1d

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Tech Lead for Non-Authoring Backend Logic

Alight -
Noida, Uttar Pradesh

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Job details

Qualifications

Cloud infrastructure
Cloud architecture
Big data
Encryption
AWS Certification
Databases
SQL
AWS
Back-end development
APIs
ETL
S3
Data visualization
Redshift
AI
Data warehouse
Python
Identity & access management

Full job description

AWS Backend Lead

Location: Remote / Hybrid

Experience Level: Lead (10+ years)

Summary

Backend Lead responsible for designing and building cloud-native, event-driven data and analytics services on AWS, with a focus on serverless application development, ETL pipelines, and enabling self-service analytics and reporting in Amazon QuickSight. The engineer will work closely with data, analytics, and product teams to deliver reliable, scalable data services and BI capabilities.

Core Responsibilities

Design and develop backend services and data APIs and other serverless components to support analytics and application workloads.
Build and operate event-driven architectures that integrate S3, EventBridge, SNS/SQS, Lambda, Step Functions, and AWS Glue for near real-time and batch ETL workloads powering QuickSight dashboards and authoring.
Implement robust ETL and data integration pipelines using AWS Glue (jobs, workflows, crawlers) to load, transform, and curate data in Amazon Redshift and the broader data warehouse environment.
Model, optimize, and manage data structures (star/snowflake schemas, partitioning, distribution/sort keys) in Amazon Redshift and related data stores for performant SQL and BI queries.
Enable and support Amazon QuickSight reporting and authoring, including data preparation, semantic modeling, row-level security, and performance tuning for dashboards and analyses.
Apply big data analytics best practices for scalable storage and compute (e.g., S3-based data lakes, columnar formats like Parquet, pushdown, partition pruning).
Design and implement monitoring, logging, and alerting for event-driven and serverless workloads using CloudWatch, X-Ray, and related services.
Collaborate with data engineers, data scientists, and product teams to translate business and AI/analytics requirements into technical designs and working solutions.
Contribute to architecture decisions, design reviews, and AWS best-practice adoption (security, IAM, networking, cost optimization, reliability).
Mentor other engineers in serverless, data, and AI application patterns, coding standards, and cloud-native design.

Requirements:

Strong hands-on experience (10+ Years) building applications and services on Amazon Web Services (AWS), ideally in a cloud application architect or backend engineer capacity.
Advanced proficiency in Python for backend development, ETL, and automation (including use within AWS Lambda and AWS Glue jobs).
Proven experience with serverless computing on AWS, including Lambda, API Gateway, Step Functions, and event-driven integration patterns.
Solid experience designing and maintaining ETL pipelines and data workflows using AWS Glue (jobs, workflows, and crawlers) and related data integration tooling.
Strong SQL skills and experience working with analytical databases and data warehouses, especially Amazon Redshift.
Practical knowledge of data warehousing concepts (dimensional modeling, fact/dimension design, slowly changing dimensions, data partitioning, and indexing).
Experience with big data analytics workloads on AWS (S3-based data lakes, Parquet/ORC, Redshift Spectrum, Athena, or similar).
Hands-on experience with Business Intelligence (BI) and data visualization tools, with a preference for Amazon QuickSight (dataset design, dashboards, security).
Understanding of cloud infrastructure fundamentals (VPC, subnets, networking, IAM, encryption, security best practices) in AWS.
At least one relevant AWS certification (e.g., Solutions Architect, Data Analytics, Developer, or similar) or equivalent practical expertise.

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER:

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.

Apply Now

Refine Your Search

storage developer backend jobs in noida sector 16 noida uttar pradesh

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