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Data Platform Specialist

2 weeks ago

Cochin, Kerala, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 24,00,000

About a tech-first company solving real-world problems with clean code, thoughtful design, and fast iterations.

  • We are lean, product-driven, and obsessed with delivering value through scalable data platforms and applications.

Our ideal candidate will build and maintain data pipelines connecting Aurora MySQL to Redshift Serverless to S3/QuickSight. They will also design data models, materialized views, and APIs to enable fast reporting and analytics.

  • The engineer must automate scheduled reporting workflows and exports for clients and admins, while collaborating with engineers, product, and design to deliver insights quickly.

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 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

Pipeline Engineer Wanted

Are you an expert in building efficient data pipelines? Do you have strong knowledge of AWS data stack, SQL, and data modeling?

We're looking for a skilled engineer who can design and implement scalable data platforms and applications. If you're passionate about delivering high-quality results quickly, we'd love to hear from you

  • Main Responsibilities:
  • Design and build data pipelines connecting Aurora MySQL to Redshift Serverless to S3/QuickSight
  • Implement data models, materialized views, and APIs for fast reporting and analytics
  • Automate scheduled reporting workflows and exports for clients and admins

Requirements:

  • 5+ years of experience in data engineering
  • Strong understanding of AWS data stack (Aurora, Redshift, S3, Lambda/EventBridge)
  • Solid SQL and data modeling skills
  • Familiarity with BI tools like QuickSight, Metabase, or Superset

Bonus Points:

  • Experience with Python and libraries like awswrangler
  • 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