Data Engineer Mid To Senior

Job Responsibilities

• Design, develop, and maintain ETL pipelines to ingest, transform, and load data from multiple sources.
• Build and optimize data pipelines for performance, reliability, and scalability.
• Work with cloud-based data lakehouse platforms such as Databricks, BigQuery, or similar technologies.
• Develop and maintain data processing workflows using Python.
• Write complex and optimized SQL queries to support analytics and reporting requirements.
• Design and manage data models to support data warehousing and business intelligence use cases.
• Process and manage structured and semi-structured data (e.g., JSON, CSV, logs).
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and consistency across data platforms.
• Troubleshoot and resolve data pipeline and performance issues.