Senior Data Management Professional - Data Engineering - Data BNEF
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Job Description
Location
Sao Paulo
Business Area
Data
Ref #
10051725
Senior Data Management Professional - Data Engineering - Data BNEF
Resumes must be submitted in English to be considered
São Paulo - Brazil
São Paulo - Brazil
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.
The BNEF Data Team maintains databases for renewable and conventional power plants, storage projects and manufacturing plants globally. The team is currently working on a new future-proof data model and workflow that can facilitate and accelerate coverage expansion for integrated use in downstream analysis across our customer groups (including governments, portfolio managers, corporations, equity analysts etc.).
The Role:
As a Senior Data Engineer on the BNEF Data Team based in our Sao Paulo office, you’re required to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions 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. You will work closely with our Engineering partners, our Data Product Managers as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large, varied, sophisticated and often unstructured data sets and you will need to demonstrate strong experience in data engineering.
We trust you to:
- Build database schema and configure ETL tools to onboard new data sets.
- Analyze internal processes to find opportunities for improvement, as well as devise and implement innovative solutions.
- Build quality data workflows to verify and validate third party data.
- Contribute to the technical implementation of a new Physical Assets Data Model.
- Maintain workflow configurations for critical functions such as acquisition, worklist management, and quality control.
- Contribute to the creation of best practices and guidelines for data governance.
- Partner with Engineering and Product to propose, develop and implement market leading solutions for our clients.
- Understand customer needs and markets to ensure our data sets are fit-for-purpose and seamlessly integrate with other data products when developing data product strategies.
- Stay updated on market, industry and dataset developments related to your area of support.
- Make well-informed decisions in a fast-paced, ever-changing environment.
- Report on results of on-going operations and projects, as required.
You’ll need to have:
- A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience.
- Fluency in Portuguese and English.
- 3+ years of programming and scripting in a production environment (Python, Javascript, etc).
- 3+ years of experience working with databases (either SQL or NoSQL).
- Understanding and experience of large-scale, distributed systems as well as ETL logics.
- The ability to think creatively and provide out of the box solutions with an eagerness to learn and collaborate.
- Familiarity with data processing paradigms and associated tools and technologies.
- Strong passion for data, exceptional problem-solving skills, and high attention to detail.
- Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management.
- Ability to work independently as well as in a distributed team environment.
We’d love to see:
- Track record of collaborating with Engineering to promote code to production.
- Experience and engagement with the energy transition movement.
- Knowledge of AI and Machine Learning frameworks.
- Experience in conducting technical training and mentoring others.
- Proficiency and previous experience working with Bloomberg Data tech stack.
- Fluency in Spanish.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
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