Data Engineer - ETL/ELT Pipelines

Description :

- Build, maintain, and optimize scalable ETL/ELT pipelines for large-scale data processing

- Develop and optimize complex SQL queries, transformations, and warehouse models

- Create and manage Airflow DAGs for workflow orchestration and scheduling

- Design source-to-target mappings and develop curated data layers for analytics consumption

- Support reporting, dashboarding, and business analytics use cases with reliable datasets

- Work with structured and semi-structured data from multiple internal and external sources

- Monitor pipeline performance, troubleshoot failures, and ensure high data quality standards

- Collaborate cross-functionally with BI, Analytics, Product, and AI/ML teams

- Contribute to the development and enhancement of cloud-based data platforms and architecture

- Maintain technical documentation, metadata, and data lineage processes