Data Engineer

Responsibilities:

• 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.