Description

You will manage data pipelines and perform deep-dive investigations into data problems.

Responsibilities

• Build and maintain data pipelines using ETL tools.
• Perform data evaluation and problem investigations to ensure accuracy.
• Manage customer data processes while adhering to compliance and governance standards.
• Execute basic statistical analysis to present actionable data insights.
• Implement data modeling and metadata management practices.

Required Skills

• 5+ years of experience in Data Analysis.
• 5+ years of 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.
• Hands-on experience with business data modeling and metadata management.
• Understanding of OLAP tools and building cubes.
• 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