AWS Data Platform Engineer

Job Title:

AWS Data Platform Engineer

Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation  will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.

Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.
Join us and be part of this journey towards greater opportunities and brighter futures.
*
* Title:

AWS Data Platform Engineer
***
* Location:

Remote in USA
**** Key Responsibilities
** Preferred 6+ years of experience
** AWS Data Lake Architecture & Setup
*** Design and maintain scalable
** AWS Data Lakes
** using:  +
** Amazon S3
** for multi-zone data storage (raw, curated, processed)  +
** AWS Glue
** Jobs, Crawlers, and Data Catalog  +
** AWS Lake Formation
** for centralized governance and security
* Configure Lake Formation capabilities:  + Row/column-level access control  + Tag-based access control (LF-TBAC)  + Governed table permissions  + Cross-account data sharing
* Implement best practices in:  + Data partitioning  + Schema evolution  + Metadata and catalog management
* Build and optimize ingestion and ETL pipelines for batch or near-real-time workloads.
** AWS Serverless Development
*** Develop serverless applications using:  +
** Lambda**  +
** API Gateway**  +
** Event Bridge**  +
** SNS/SQS**  +
** Step Functions
*** Build and tune AWS Glue ETL jobs using Python and PySpark.
* Implement cost-efficient, highly scalable, event-driven architectures.
** Monitoring, Logging & Observability
*** Implement monitoring and alerting using:  +
** Amazon Cloud Watch Logs, Metrics & Dashboards**  + Cloud Watch Alarms for proactive incident detection
* Use Cloud Watch Log Insights for log analytics and troubleshooting.
* Configure
** AWS X-Ray
** for distributed tracing and end-to-end visibility.
* Build automated alerts around:  + Lambda failures  + Glue job errors  + Data pipeline SLAs  + Performance anomalies
** Data Engineering & Spark
*** Develop ETL pipelines using
** PySpark
* * on AWS Glue or EMR.
* Optimize Spark workloads for performance, cost, and scaling.
* Troubleshoot distributed data issues and tune job performance.
** Python Development
*** Write clean Python code for Lambda functions, Glue jobs, and automation tools.
* Develop shared internal libraries for ETL, monitoring, and data governance.
* Implement automated CI/CD delivery pipelines.
** Dev Ops & Cloud Platform Automation
*** Use Infrastructure-as-Code tools including:  +
** Terraform** (modules, work spaces, state management)  + AWS Cloud Formation or CDK (optional but beneficial)
* Implement:  + Automated provisioning of AWS resources  + Version-controlled, repeatable deployments  + Secure IAM roles and resource policies
* Configure monitoring,…