Senior Data Management Professional

4 weeks ago

Singapur, Singapore WomenTech Network Full time

About the Role:

We are seeking a highly motivated individual with a passion for finance, data, and technology to join our team as a Data Engineer. In this role, you will be responsible for delivering high-quality data products to our clients, working closely with the Product, Engineering, and Sales teams to create innovative solutions.

Key Responsibilities:

  • Design and implement robust data pipelines to support the ingestion, transformation, and loading of vast amounts of data from various sources.
  • Lead conversations with the Data Technologies Team to ensure data strategies are aligned and each workflow's processes are accounted for.
  • Oversee data governance on new and existing workflows, improving data ingestion and interoperability between our product and other systems.
  • Devise data quality strategies across various data workflows and oversee their governance.
  • Devise and implement data acquisition strategies for data fields from diverse and disparate, structured and unstructured sources.
  • Set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of our data.
  • Design producer database structures optimized for our specific use cases.
  • Analyze internal processes to find opportunities for improvement and engineer efficient and innovative workflows using programmatic machine learning approaches.
  • Use your deep understanding of events and transcripts markets and data, including trading and analytics workflows, to create comprehensive and transparent solutions that fit the use case of our internal and external customers.
  • Understand clients' and markets' needs on each data field to extract and maintain it.
  • Apply your proven project management skills to ensure all technical projects are on track with the right requirements.
  • Be responsive, resourceful, flexible, and an excellent collaborator.
  • Partner with our Product, Technology, and Data Management Lab team to ensure consistent principles are leveraged, tools are fit for purpose, and results are measurable.
  • Balance the best of technical and product knowledge to craft solutions for customers.

Requirements:

  • Minimum 3+ years of experience working with Python, JavaScript, SQL, and NoSQL.
  • Minimum 3+ years of experience working in a data engineering role or related fields such as data quality, data modeling, or data architecture.
  • Business proficiency or above in Mandarin as the main coverage will be the Chinese market.
  • Demonstrated experience in data management and experience in building ETL pipelines.
  • A bachelor's degree or higher in Computer Science, Mathematics, or a relevant data technology field, or degree-equivalent qualifications.
  • 4+ years of experience related to ingesting and normalizing disseminated data across different sources.
  • Proficient in using Tech Stack such as Amazon S3, Lambda function, Kafka, Apache Airflow, or Bloomberg Tech Stack in a production environment.
  • Exceptional problem-solving skills, numerical proficiency, and high attention to detail.
  • Ability to work independently as well as in a distributed team environment.
  • Ability to optimally communicate and present concepts and methodologies to diverse audiences.
  • Demonstrated continuous career growth within an organization.
  • Excellent written and verbal communication skills in English.

We'd Love to See:

  • Data Management Association Certified Data Management Professional, Data Capability Assessment Model certification.

Why Bloomberg?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

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