Data Engineer

Design, build, and optimize scalable data systems to support analytics, reporting, and business insights. Key focus: efficient data pipelines (orchestrated via Apache Airflow), ETL/ELT processes, data modeling, high-performance data warehousing, and denormalized flat report views for fast, join-free BI consumption.

Key Responsibilities

• Develop and maintain scalable data pipelines and workflows using
  Apache Airflow
  for scheduling, dependency management, monitoring, and alerting.
• Build and optimize
  ETL/ELT processes
  for ingesting, transforming, and loading data from diverse sources.
• Design dimensional/star schemas and scalable data models for data warehouses.
• Architect and tune
  data warehouses
  for performance (indexing, partitioning, query optimization).
• Proficient in designing and creating denormalized, flat report views
  for BI tools (e.g., Power BI, Tableau, ERPNext), enabling efficient, join-free que...