Senior Data Engineer Position Available

3 days ago

Dindigul, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Us

We are a technology-driven company focused on developing scalable data platforms and applications.

Our team is innovative, product-driven, and committed to delivering value through clean code, thoughtful design, and fast iterations.

Key Responsibilities:

  • Create efficient data pipelines connecting Aurora MySQL to Redshift Serverless, S3, and QuickSight for data processing and analytics.
  • Design and maintain 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 teams to deliver insights quickly.
  • Evaluate the reliability, scalability, and performance of our analytics infrastructure.

Must-Have Skills:

  • Strong experience with AWS data stack (Aurora, Redshift, S3, Lambda/EventBridge) for data engineering and architecture.
  • Solid SQL and data modeling skills (fact/dimension schemas, materialized views) for efficient data analysis.
  • Familiarity with BI tools like QuickSight, Metabase, or Superset for data visualization and reporting.
  • Good understanding of IAM, security, and data governance principles to ensure secure data handling.

Good to Have:

  • Experience with Python and libraries like awswrangler for data automation and workflow optimization.
  • Exposure to ETL/ELT frameworks (Glue, Airflow, dbt) for data integration and pipeline management.
  • Knowledge of data lake best practices (Parquet, partitioning) for efficient data storage and querying.
  • Comfort with infrastructure-as-code (Terraform/CDK) for automating infrastructure deployment and management.
  • Understanding of multi-tenant SaaS reporting architectures for scalable and secure reporting solutions.

About Us:

We are a company that values innovation, collaboration, and delivering value through technology. Our team is passionate about solving real-world problems and creating scalable data platforms and applications.

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