Description

You will own data pipeline development and deep-dive investigations into data quality and governance issues.

Responsibilities

• Build and maintain ETL data pipelines using Hive/HDFS and Hive SQL.
• Perform data evaluation and root-cause analysis to ensure data accuracy.
• Manage customer data processes while adhering to strict compliance and governance standards.
• Implement data modeling, dimensional modeling, and metadata management practices.
• Execute statistical analysis to present actionable insights and build OLAP cubes.

Required Skills

• 5+ years of experience in Data Analysis.
• 5+ years of hands-on experience using ETL tools to create data pipelines.
• Strong background in Data Warehousing and dimensional modeling.
• Proficiency in Hive, HDFS, and Hive SQL.
• Experience with data governance, data standards, and data quality frameworks.
• Hands-on experience with business data modeling and metadata management.
• Understanding of OLAP tools and cube building.
• Basic understanding of AWS environments.
• Knowledge of encryption and decryption processes for customer PII data.

Preferred Skills

• Experience with customer data management processes and compliance.

Key Skills

Education

Any Graduate