Key Responsibilities
Design, build, and deliver large-scale cloud-native data platforms
Develop REST APIs and microservices with Kubernetes containerization
Build distributed data processing solutions using PySpark and Apache Spark
Design and implement Data Warehousing, Data Lake, and Delta Lake architectures and big data ecosystem designs
Leverage AWS services including S3, Lambda, API Gateway, and EventBridge
Implement messaging and event-driven solutions using Kafka, SNS, and SQS
Develop and manage database solutions using PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis
Provision infrastructure using Infrastructure as Code tools such as Terraform and Ansible
Support CI/CD and DevOps practices using Jenkins, GitHub/GitLab, Bitbucket, and GoCD
Implement robust testing strategies including unit, integration, and regression testing
Drive scalability, performance, and reliability across the technology stack
Collaborate with global engineering and business stakeholders
Explore and apply Generative AI technologies including LLMs, RAG architectures, and agentic AI systems
Required Qualifications
6+ years of experience
B.E./B.Tech/M.Tech/MCA in Computer Science, IT, or related field
Bachelor's Degree
Skills
Java
PySpark
Apache Spark
REST APIs
Kubernetes
AWS
Apache Kafka
AWS SNS and SQS
PostgreSQL
SQL Server
Amazon Aurora
DynamoDB
MongoDB
Redis
Terraform
Ansible
CI/CD and DevOps
Delta Lake
Distributed Systems Engineering
Big Data Engineering
Data Warehousing
Data Lake Architecture
Microservices Development
Event-Driven Architecture
Testing Strategy Implementation
Generative AI Solutions
Stakeholder Collaboration
Schedule
Start date: 2026-09-30
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: compun
- Position Id: SAHDC5917080
- Posted 1 day ago
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