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Data Infrastructure Specialist

2 weeks ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
About the Role

As a data engineer at our organization, you will be responsible for building and maintaining scalable data pipelines that connect our systems to AWS services. Your expertise in designing data models, materialized views, and APIs will enable fast reporting and analytics.

Key Responsibilities
  • Design and implement data pipelines using Aurora MySQL, Redshift Serverless, and S3/QuickSight.
  • Develop data models and materialized views to support fast reporting and analytics.
  • Automate scheduled reporting workflows and exports for clients and administrators.
  • Collaborate with engineers, product managers, and designers to deliver insights quickly.
  • Evaluate and ensure the 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 skills (fact/dimension schemas, materialized views).
  • Familiarity with business intelligence tools like QuickSight, Metabase, or Superset.
Good to Have
  • Experience with Python and libraries like awswrangler for data automation.
  • Familiarity with 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.
Additional Information

We value scalability, reliability, and performance in our analytics infrastructure.