Senior Data Management Professional - Data Quality Engineering
Welcome to Bloomberg, a global leader in financial data and technology. We are seeking a highly skilled and experienced Senior Data Management Professional to join our Data Quality Engineering team. In this role, you will have the opportunity to work with cutting-edge technology and play a critical role in ensuring the accuracy and reliability of our data. As a Senior Data Management Professional, you will have a deep understanding of data management principles and a strong passion for creating and implementing efficient data quality processes. If you are a self-motivated and detail-oriented individual with a strong background in data quality engineering, we would love to hear from you!
- Develop and implement data quality processes to ensure accuracy and reliability of financial data.
- Collaborate with cross-functional teams to identify and resolve data quality issues.
- Analyze and interpret complex data sets to identify potential data quality issues.
- Utilize cutting-edge technology to enhance data quality processes and identify opportunities for improvement.
- Lead and mentor junior members of the Data Quality Engineering team.
- Develop and maintain data quality standards and guidelines.
- Conduct regular audits to monitor the effectiveness of data quality processes.
- Communicate and collaborate with stakeholders to understand data requirements and address any data quality concerns.
- Stay up-to-date with industry trends and best practices in data management and data quality engineering.
- Act as a subject matter expert for data management and data quality within the organization.
- Identify and implement automation solutions to streamline data quality processes.
- Ensure compliance with data privacy and security regulations.
- Manage and maintain data quality tools and systems.
- Participate in project planning and provide data quality expertise and recommendations.
- Continuously monitor and improve data quality metrics and KPIs.
Extensive Experience In Data Quality Engineering: The Ideal Candidate For This Role Should Have A Minimum Of 5 Years Of Hands-On Experience In Data Quality Engineering, With A Proven Track Record Of Managing And Improving Data Quality Across Complex Data Environments.
Strong Understanding Of Data Management Principles: Candidates Should Possess A Deep Understanding Of Data Management Principles And Best Practices, Including Data Governance, Data Quality, Data Cleansing, And Data Integration.
Proficiency In Data Analysis And Reporting: The Role Requires The Ability To Analyze Complex Data Sets And Identify Data Quality Issues, As Well As Create Comprehensive Reports And Dashboards To Communicate Findings To Stakeholders.
Technical Skills In Database Management And Programming: The Candidate Should Have A Strong Technical Background, With Proficiency In Sql And Experience Working With Relational Databases. Knowledge Of Programming Languages Such As Python Or R Is Also Preferred.
Excellent Communication And Leadership Skills: As A Senior Data Management Professional, The Candidate Should Have Excellent Communication And Leadership Skills To Effectively Collaborate With Cross-Functional Teams And Lead Data Quality Improvement Initiatives Across The Organization.
Data Analysis
Quality
Data Modeling
Data Validation
Data warehousing
Data integration
Database design
Data governance
Data architecture
SQL proficiency
Data Cleansing
Data Auditing
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Management Professional - Data Quality Engineering in New York, NY, USA is $120,000 - $150,000 per year. This range can vary depending on factors such as experience, industry, and company size.
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Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.
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