Assistant Vice President -Data Engineering

About CITI
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
About AIM:
Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.
 

Job Description:

We are seeking a highly skilled, detail-oriented, and motivated Python DQ Automation Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data quality automation solutions using Python. This role requires a deep understanding of data quality principles, proficiency in Python, and experience with data processing and analysis.

Key Responsibilities:

• Design, develop, and implement data quality automation processes and solutions to identify, measure, and improve data quality.
• Write and optimize Python scripts and applications to support data quality initiatives.
• Use Python libraries such as Pandas, NumPy, and PySpark for data manipulation and processing.
• Develop and enhance ETL processes to ensure accurate and timely data integration and transformation.
• Analyze data sets to identify data quality issues, trends, and anomalies, providing insights and recommendations for improvement. Support manual DQ efforts as required.
• Develop and execute test plans to validate the effectiveness of data quality solutions.
• Maintain comprehensive documentation of data quality processes, procedures, and standards.
• Work closely with data analysts, data engineers, DQ testers and other team members and stakeholders to understand data requirements and deliver high-quality data solutions.

Required Skills:

• Proficiency in Python and related libraries (Pandas, NumPy, PySpark, pyTest).
• Experience with data quality tools and frameworks.
• Strong understanding of ETL processes and data integration.
• Familiarity with data governance and data management principles.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work effectively both independently and as part of a team.

Qualifications:

• Bachelor’s degree in computer science or Information Technology. Advanced degree is a plus.
• Minimum of 7 years of experience in data quality automation and Python Development.
• Proven experience with Python libraries for data processing and analysis.

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