Data Engineer

Roles and Responsibilities

• Architect, build, and optimize scalable data pipelines using Python, SQL, and distributed processing frameworks such as Spark.
• Design and maintain robust ETL/ELT workflows to integrate structured and semi-structured data from multiple internal and external systems.
• Ensure data quality, lineage, validation, and monitoring across all ingestion and transformation layers.
• Partner with analytics and product teams to operationalize analytical models, KPI dashboards, and metric frameworks.
• Build reusable datasets, analytics marts, and query-optimized schemas to support diverse use cases including reporting, forecasting, personalization, and operational automation.
• Translate raw data into accessible, well-governed, analysis-ready formats.
• Develop SOPs, quality checks, and review workflows to ensure accurate, consistent, and reliable data delivery
• Establish coding standards, ...