
Building Scalable Data Infrastructure
16 hours ago
About a technology driven organization that tackles real-world problems with clean code, thoughtful design, and fast iterations.
We're a product-driven team dedicated to delivering value through scalable data platforms and applications.
Your Key Responsibilities:- Create data pipelines connecting Aurora MySQL to Redshift Serverless to S3/QuickSight for efficient reporting and analytics
- Design data models, materialized views, and APIs for rapid reporting and analytics
- Automate scheduled reporting workflows and exports for clients and admins
- Collaborate with engineers, product teams to deliver insights promptly
- Ensure performance, reliability, and scalability of our analytics infrastructure
- Strong experience with AWS data stack (Aurora, Redshift, S3, Lambda)
- Solid SQL and data modeling skills (fact/dimension schemas, materialized views)
- Familiarity with BI tools like QuickSight, Metabase or Superset
- Good understanding of IAM, security, and data governance principles
- Experience with Python and libraries like awswrangler for data automation
- Exposure to ETL frameworks (Glue, Airflow, dbt)
- Knowledge of data lake best practices (Parquet, partitioning)
- Comfort with infrastructure-as-code (Terraform/CDK)
- Understanding of multi-tenant SaaS reporting architectures
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