Description

Manage integration, enrichment, and validation of contact datasets using SQL and Python.

You will own the release pipeline

Responsibilities

• Integrate vendor data with existing contact datasets using SQL and Python scripts to ensure consistency.
• Partner with Data Engineering to design automated solutions for data refreshing and contact validation.
• Implement error handling, data quality checks, and monitoring mechanisms into data pipelines.
• Perform deep-dive analyses to investigate data problems and determine the success of enhancement projects.
• Document technical processes, methodologies, and solutions to enable internal knowledge transfer.

Required Skills

• 5+ years of experience in data-focused roles.
• Advanced SQL proficiency for querying, manipulating, and joining complex datasets.
• Experience with ETL (Extract, Transform, Load) processes and designing data integration pipelines.
• Proficiency in Python for developing automation scripts and data enrichment tools.
• Strong data validation skills, including cleaning, standardizing, and resolving inconsistencies.
• Understanding of database management principles, including indexing, performance optimization, and security.
• Ability to summarize trends and identify root causes of data issues.

Preferred Skills

• Knowledge of Regular Expressions (Regex) for text string manipulation.

Key Skills

Education

Any Graduate