
Design Scalable Data Solutions
5 days ago
About Us
We're a forward-thinking organization revolutionizing the way we approach data-driven solutions. Our team is driven by a passion for innovation, delivering scalable and reliable analytics infrastructure.
Key Responsibilities:- We design and maintain data pipelines that integrate seamlessly with Aurora MySQL, Redshift Serverless, and S3/QuickSight.
- We develop data models, materialized views, and APIs to accelerate reporting and analytics.
- We automate scheduled reporting workflows and exports for clients and administrators.
- We collaborate closely with engineers, product, and design teams to deliver actionable insights swiftly.
- We ensure the performance, reliability, and scalability of our analytics infrastructure.
- Strong experience with AWS data stack (Aurora, Redshift, S3, Lambda/EventBridge)
- 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
- Opportunity to work with cutting-edge technologies and innovative projects
- Collaborative and dynamic work environment
- Chance to grow professionally and personally
- Experience with Python and libraries like awswrangler for data automation
- Exposure to ETL/ELT 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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