div align=leftdivBloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes./divdivbr/divdivbr/divdivOur Team:/divdivbr/divdivOur team is responsible for acquiring and maintaining the full life-cycle of Equity Corporate Actions data which includes corporate actions, IPO and Mamp;A. In order to create a comprehensive client experience across the product offering (including but not limited to Enterprise Data, Indices, News, Terminal, AIM). Multi-functional collaboration, deep domain knowledge, thoughtful automation, and data management expertise are paramount for our ability to continuously deliver high quality data to our rapidly growing client base. Our data is a key building block in Bloombergs overall offering, being used by more than a third of Bloombergs 320,000 users./divdivbr/divdivbr/divdivWhats the Role?/divdivbr/divdivWe are looking for a highly motivated individual with a passion for finance, data, and technology to increase value from our data product. In this role you will be responsible for developing strategies to optimize the value of Equity Corporate Actions data for our clients and improve data operations. You will be diving deep into complex datasets - requiring you to understand the data requirements, specifying the modeling needs of datasets, using existing tech stack for efficient data ingestion workflows, and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients./divdivbr/divdivbr/divdivWell Trust You To:/divdivulliBuild and maintain robust and scalable data pipelines to support the ingestion, transformation, and loading of vast amounts of data from various 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, Amazon Web Services Lambda, Kafka, Python Pandas/liliDevelop, maintain and enhance data processing workflow to support data quality strategies/liliDevise and implement data acquisition strategies for data fields from diverse and disparate, structured and unstructured sources/liliSet up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of Corporate Actions data using Bloomberg tech stack components such as business rule engines and QlikSense/liliDesign producer database structures optimized for our specific use cases/liliAnalyze internal processes to find opportunities for improvement and process engineer efficient and innovative workflows using programmatic machine learning approaches/liliUse your deep understanding of Equity markets and data, including trading and analytics workflows, to create comprehensive and transparent solutions that fits the use case of our internal and external clients/liliUnderstand clients and markets needs on each Corporate Actions data field to extract and maintain it/liliCollaborate with partners in creating data manipulation frameworks and establishing standard methodologies using Bloombergs tech stack/liliApply your proven project management skills to ensure all technical projects are on track with right requirements/liliPartner 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/liliBalance the best of technical and product knowledge to craft solutions for customers/li/ul/divdivbr/divdivYoull Need to Have:/divdivulli4+ years of experience working with Python, SQL and/or NoSQL/lili4+ years of experience working in a data engineering role/liliProven experience in data management and experience in building ETL pipelines/liliProficient in using Tech Stack such as Amazon S3, Lambda function, Kafka, Apache Airflow in a production environment/liliExceptional problem-solving skills, numerical proficiency and high attention to detail/liliAbility to work independently as well as in a distributed team environment/liliAbility to optimally communicate and present concepts and methodologies to diverse audiences/liliDemonstrated continuous career growth within an organization/li/ul/divdivbr/divdivWed Love to See:/divdivulliData Management Association Certified Data Management Professional, Data Capability Assessment Model certification/liliExperience related to ingesting and normalizing exchange disseminated Equity Corporate Actions data/li/ul/divdivbr/divdivDoes this sound like you? Apply if you think were a good match. Well get in touch to let you know what the next steps are./div/div Salary: 110000,170000,USD,Annual Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net