Senior Data Analytics Engineer (Manager Level | Individual Contributor)

📋 Description

• Drive the migration of legacy reporting and analytics environments to modern cloud-based platforms.
• Analyze existing BI models, SQL workloads, and reporting logic to identify optimization
• Convert complex business and reporting logic into scalable cloud-native data solutions.
• Ensure data quality, accuracy, and seamless transition through comprehensive validation and testing.
• Develop, enhance, and maintain enterprise-grade data pipelines and data products.
• Build efficient data transformation frameworks using modern analytics engineering practices.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a
• 4+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or Data
• Strong expertise in SQL, including advanced query development, optimization, and stored procedure
• Experience working with Power BI, semantic models, and DAX-based reporting environments.
• Hands-on experience with Spark, PySpark, Spark SQL, or similar big data technologies.
• Proficiency in Python for data processing, automation, and analytics.