Senior Data Integration Specialist - Workplace Ops & Supply Chain (Contract)

The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for.

It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration.

Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here.

Work you couldn't do anywhere else. It's up to you to make it happen.

What's the role?

Bloomberg 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 - all while providing platinum customer support to our clients.

Bloomberg's Workplace Operations and Supply Chain Business Intelligence team continually improves our operations teams' ability to make data-driven decisions.

You will help us to determine where potential opportunities exist, the information required to effectively analyze our processes, and how to use the findings to improve our operations and strengthen our business strategy.

We are seeking a highly skilled Data Integration Specialist to join our team as a contractor for 6 months. You will be responsible for acquiring and analyzing data from various third-party sources.

You will utilize your expertise in SQL, Python, APIs and Data Science to extract, analyze, integrate and transform data for data management and data analytics purposes.

As a Data Integration Specialist, you will establish and manage data exchanges and integrations between various third-party platforms.

We'll trust you to :

• Gather and analyze data from multiple third-party sources using various methods and tools
• Solid understanding and experience working with third party API design principles, including versioning, authentication, authorization, and documentation
• Develop and maintain Jupyter notebooks in data science platform for data integrations across different systems and perform exploration, analysis, and visualization
• Strong problem-solving and analytical skills, with the ability to troubleshoot and debug complex API-related issues
• Strong knowledge of development best practices, including version control, testing frameworks
• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment
• Collaborate with cross-functional teams to understand data requirements and ensure data accuracy and integrity
• Collaborate with data engineers and data scientists to support their data needs and ensure smooth data operations
• Document earmarked API integration work into a resource library for ongoing support

You'll need to have :

• Bachelor's degree in computer science or a related field
• Strong proficiency in API development, Python and SQL
• Experience with data lake and data warehouse concepts and technologies
• Excellent analytical and problem-solving skills
• Strong attention to detail and ability to work with large datasets

We'd love to see :

• Ability to remain flexible with changing priorities and thrive in a high-pressure environment
• Comprehensive knowledge in ETL frameworks
• Experience in Stakeholder management
• Have excellent spoken and written communication skills
• Experience working within an Agile framework

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at : https : / / www.

bloomberg.com / company / what-we-do /

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 maternity / parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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Examples of reasonable adjustment / accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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