We trust you to
Build and maintain robust and scalable ETL data pipelines to support the ingestion, transformation, and loading of vast amounts of data from sources using Bloomberg tech stack components such as Bloomberg Data Services, Dataflow recipes and Data Technologies Pipelines or equivalent tech stack such as Amazon S3, SQL, Python Pandas
Analyze internal processes to find opportunities for improvement and process engineer efficient and innovative workflows using programmatic machine learning approaches
Set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of the FX dataset using Bloomberg tech stack components such as the Data Science Platform and QlikSense
Collaborate with partners in creating data manipulation frameworks and establishing standard methodologies using Bloomberg's tech stack
Apply your proven project management skills to ensure all technical projects are on track with 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 will be measurable
Balance the best of technical and product knowledge to craft solutions for customers
Experienced in managing and integrating large databases to develop analytical tools and automate manual tasks, providing valuable insights and efficiencies
Keep up with the industry trends, standards, and innovation in the data quality domain
You'll need to have
3 years of programming and scripting in a production environment (Python, Javascript, etc)
3 years of experience working with databases using SQL
Experience working with extremely large data volumes
Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling
A bachelor’s degree or higher in Computer Science, Mathematics, or relevant data technology field, or degree-equivalent qualifications
Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
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
Familiarity with time series analytics and statistical methodologies
We'd Love to See
Data Management Association Certified Data Management Professional, Data Capability Assessment Model certification
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Knowledge of business intelligence reporting tools such as QlikSense, Power BI
Familiarity with Iceberg and Trino solutions
Knowledge of streaming technologies like Kafka
Familiarity with client use cases of OTC composite pricing across currency and interest rates instruments
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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