Senior Data Management Professional - Data Engineering

About the Role

Key Responsibilities

• Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
• Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
• Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
• Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
• Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
• Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
• Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
• Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
• Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
• Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.

Requirements

• A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
• A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
• Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
• Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
• Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
• Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
• Extensive experience in communicating results in a clear, concise manner using data visualization tools.
• Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.

Nice to Have

• DAMA CDMP or DCAM certifications.
• Keen interest and familiarity with generative AI frameworks.
• Understanding of the importance of high quality annotations.
• Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
• Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
• Past project experience using the Agile/Scrum project management methodology.

Qualifications

• Bachelor's degree or above in a relevant STEM field

Benefits & Perks

• Salary Range = 110000 - 170000 USD Annually + Benefits + Bonus
• One of the most comprehensive and generous benefits plans available
• Range of total rewards that may include merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs