Tech Lead for Non-Authoring Backend Logic
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Key skills for this role
Role Overview
The AWS Backend Lead will design and build cloud-native, event-driven data and analytics services on AWS.
The role focuses on serverless application development, ETL pipelines, self-service analytics, and Amazon QuickSight reporting.
The source describes the experience level as Lead with 10 or more years of experience.
Key Skills for This Role
Full Job Posting
Role Overview
The AWS Backend Lead will design and build cloud-native, event-driven data and analytics services on AWS.
The role focuses on serverless application development, ETL pipelines, self-service analytics, and Amazon QuickSight reporting.
The source describes the experience level as Lead with 10 or more years of experience.
Workplace
- The source states Remote / Hybrid without selecting one definitive workplace arrangement.
Core Responsibilities
- Design and develop backend services, data APIs, and serverless components for analytics and application workloads.
- Build event-driven architectures using S3, EventBridge, SNS/SQS, Lambda, Step Functions, and AWS Glue.
- Implement AWS Glue ETL pipelines to load, transform, and curate data in Amazon Redshift.
- Model and optimize Redshift data structures for SQL and BI query performance.
- Support QuickSight data preparation, semantic modeling, row-level security, dashboards, and analyses.
- Implement monitoring, logging, and alerting with CloudWatch, X-Ray, and related services.
- Collaborate with data, analytics, AI, and product teams on technical solutions.
- Mentor engineers in serverless, data, AI application patterns, and cloud-native design.
Required Qualifications
- 10 or more years of hands-on experience building applications and services on AWS.
- Advanced Python proficiency for backend development, ETL, and automation.
- Experience with AWS serverless computing, event-driven integration, and AWS Glue workflows.
- Strong SQL skills and experience with Amazon Redshift and analytical data warehouses.
- Knowledge of dimensional modeling, data partitioning, indexing, and big data analytics on AWS.
- Understanding of AWS networking, IAM, encryption, and security best practices.
- At least one relevant AWS certification or equivalent practical expertise.
Preferred Experience
- Hands-on experience with BI and data visualization tools is required, with Amazon QuickSight specifically preferred.
Company Offering
- The source mentions competitive total rewards, continuing education and training, and growth potential.
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