C11-Data/Information Analyst (Python Developer) - BANGALORE
AMRUTHAHALLI, NH 7,INTERNATION, India
Citi
Citi is a leading global bank for institutions with cross-border needs, a global provider in wealth management and a U.S. personal bank.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 SME (Automation Developer) to join our team. The ideal candidate will be responsible for 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:
- Requirements understanding, develop, and implement data quality automation processes 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,etc. 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 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.
- Knowledge in SQL is an added advantage.
- 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:
- Minimum of 5 years of experience in data quality automation and Python Development with Master's degree in Computer Science, Information Technology, Data Science, or a related field or 7 years of experience in data quality automation and Python development with Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Advanced degree is a plus.
- Proven experience with Python libraries for data processing and analysis.
------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Data/Information Management------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data quality ETL NumPy Pandas PySpark Python SQL
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.