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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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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