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Data Engineer (AWS Analytics & Reporting)

0 years

0 Lacs

india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

data aws analytics reporting code design lean mysql redshift automate reliability scalability sql iam security governance python etl airflow terraform saas

Work Mode

On-site

Job Type

Full Time

Job Description

About Us

We are a tech-first company solving real-world problems with clean code, thoughtful design, and fast iterations. Our team is lean, product-driven, and obsessed with delivering value through scalable data platforms and applications.


What You’ll Be Doing
  • Build and maintain data pipelines connecting

    Aurora MySQL → Redshift Serverless → S3/QuickSight

  • Design data models, materialized views, and APIs to enable fast reporting and analytics
  • Automate scheduled reporting workflows and exports for clients and admins
  • Collaborate with engineers, product, and design to deliver insights quickly
  • Ensure performance, reliability, and scalability of our analytics infrastructure
Must-Have Skills
  • Strong experience with

    AWS data stack

    (Aurora, Redshift, S3, Lambda/EventBridge)
  • Solid SQL and data modeling (fact/dimension schemas, materialized views)
  • Familiarity with

    BI tools

    like QuickSight, Metabase, or Superset
  • Good understanding of IAM, security, and data governance principles
Good to Have
  • 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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