Description

You will extract, segment, and aggregate data from distributed data warehouses to drive analytical insights.

Responsibilities

• Build multidimensional schemas to consolidate data from multiple sources including Redshift, Hive, SparkSQL, and Athena.
• Develop data models and perform schema design for complex datasets.
• Perform data segmentation and aggregation from scratch to support business logic.
• Write production-ready code following software engineering fundamentals.
• Utilize AWS cloud services to manage and optimize data workflows.

Required Skills

• 5+ years of experience in data analytics.
• Advanced SQL skills for querying complex data warehouses.
• Proficiency in Python for data processing.
• Experience with distributed computing systems like Spark and Hive.
• Hands-on experience with Tableau or QlikSense for data visualization.
• Working knowledge of AWS cloud computing services.
• Competency with version control systems such as Git and GitHub.
• Solid understanding of data structures, algorithms, and performance complexity.

Preferred Skills

• Master's Degree in Statistics, Economics, Mathematics, or a related quantitative field.

Key Skills

Education

Any Graduate