Data Engineer

📋 Description

• Design, build, and optimize scalable data integration pipelines from various sources (cloud
• Transform and cleanse raw data into usable formats for advanced analytics and business intelligence.
• Automate manual data preparation tasks using modern data architectures and tools.
• Monitor system performance, troubleshoot bottlenecks, and optimize workflows for maximum efficiency.
• Ensure strict data integrity by implementing robust quality checks and governance standards.
• Partner with data scientists and analysts to optimize ML models and empower business stakeholders

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related
• Proven experience in data management (data integration, modeling, optimization, and quality) and
• Strong background collaborating with cross-functional teams and business stakeholders on enterprise
• Strong understanding of Data Warehouse, Data Lake/Lakehouse, Data Fabric, Data Mesh, and MPP
• Experience with SQL, NoSQL, PostgreSQL, Oracle, Hadoop, and Apache tools (Kafka, Airflow, Spark).
• Intermediate experience with BI tools (PowerBI, Tableau, Looker, etc.) and building data solutions