Senior Data Management Professional - Data Engineering - Company Financials Market Data
Are you a driven and experienced data management professional with a passion for financial markets? Do you thrive in a fast-paced environment and have a strong background in data engineering? Look no further, as Bloomberg is seeking a Senior Data Management Professional to join our team and help us manage our company financials market data. As a global leader in financial information and analytics, Bloomberg offers a dynamic and collaborative work environment where you can make a significant impact. If you have a strong understanding of data management principles and a keen eye for detail, we want to hear from you!
- Manage and maintain company financial market data for Bloomberg, ensuring accuracy, completeness, and timeliness of data.
- Develop and implement data management strategies to optimize data quality and efficiency.
- Collaborate with cross-functional teams to gather and analyze data requirements and priorities.
- Monitor and troubleshoot data issues, providing timely resolutions to maintain data integrity.
- Utilize data engineering techniques to transform and load data from various sources into Bloomberg's systems.
- Develop and maintain data dictionaries and documentation for data sources and processes.
- Stay up-to-date with industry trends and best practices in data management and financial markets.
- Train and mentor junior data management professionals in data management principles and procedures.
- Communicate effectively with stakeholders to understand their data needs and provide solutions.
- Continuously identify and implement opportunities to improve data management processes and systems.
- Maintain a strong understanding of Bloomberg's products and services to effectively manage financial market data.
Extensive Experience In Data Management: A Senior Data Management Professional At Bloomberg Must Possess A Strong Background In Data Management, With A Deep Understanding Of Various Data Management Tools And Techniques. They Should Have Experience In Organizing, Storing, And Analyzing Large Volumes Of Financial Market Data.
Proficiency In Data Engineering: The Ideal Candidate Must Have A Strong Foundation In Data Engineering, Including Expertise In Designing And Implementing Complex Data Pipelines. They Should Be Able To Develop Efficient Data Processing Systems That Can Handle Large Datasets In Real-Time.
Knowledge Of Financial Markets: As The Role Involves Managing Financial Market Data, The Candidate Should Have A Thorough Understanding Of The Global Financial Markets, Including Equities, Commodities, Fixed Income, And Currencies. They Should Also Be Familiar With Market Data Providers And Their Data Delivery Mechanisms.
Problem-Solving Skills: A Senior Data Management Professional At Bloomberg Must Be A Strategic Thinker With Excellent Problem-Solving Skills. They Should Be Able To Identify Data-Related Issues, Troubleshoot Them, And Propose Effective Solutions To Ensure Data Accuracy And Reliability.
Strong Communication And Leadership Abilities: As A Senior Member Of The Team, The Candidate Must Possess Excellent Communication Skills To Collaborate Effectively With Cross-Functional Teams. They Should Also Have Strong Leadership Abilities To Mentor And Guide Junior Team Members, Manage Projects, And Drive Results.
Sql
Programming
Data Analysis
Database Management
Data Modeling
Machine Learning
Data Visualization
Data Mining
Data integration
Data governance
ETL (Extract, Transform, Load)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Management Professional - Data Engineering - Company Financials Market Data in São Paulo, State of São Paulo, Brazil is between R$150,000 and R$250,000 per year. This can vary depending on the specific company, the candidate's experience and qualifications, and the current market demand for this type of role. It is important to note that salaries may also be influenced by additional factors such as bonuses, benefits, and location.
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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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