Vaga de parceiro

Data Developer, Campinas ( Presencial ) - Campinas / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • We combine the disruptive power of Artificial Intelligence with human expertise to support large companies in navigating changes in technology and business.
  • With 30 years of experience, 6,000 workers, offices in 10 countries and talents across 5 continents, we operate in the fields of design, strategy, and engineering for global brands, helping clients achieve the full potential of technology as a force for good.
  • Impact is what we deliver.
  • We are looking for a Data Engineer to be part of our team that is working for clients in Europe.
  • In this position, you will design, implement, and support data pipelines working closely with teams in the EU, US, Brazil, and other countries.
  • You need advanced and/or fluent proficiency in English to communicate with these different teams and clients during the workday.
  • To be considered for this opportunity you must have: Excellent level of English (reading, writing, and speaking) Send CV in English Availability to work in our Campinas Base We are looking for someone who has: Solid experience in designing, building, and testing data pipelines.
  • Solid experience using Python for data (data gathering, cleaning, transformation, joining, reading, and writing data frames using different formats).
  • Comfort learning new frameworks.
  • Experience with Cloud (especially AWS Glue).
  • Good knowledge of Infrastructure as Code.
  • Willingness to work with different technologies and learn every day.
  • Ability to share your knowledge with more junior team members.
  • The main responsibilities include, but are not limited to: Develop code used by data tools on Cloud (AWS) to perform expected data aggregation and processing operations.
  • Support, troubleshoot, and fix bugs on existing data pipelines.
  • Define, build, and deliver high-quality data pipelines.
  • Participate in the Data Validation process.
  • Cloud infrastructure design and setup.
  • Design, construct, install, test, and maintain data management systems.
  • Ensure that all systems meet the business/company requirements as well as industry practices.
  • Integrate up-and-coming data management and software engineering technologies into existing data structures.
  • Develop set processes for data mining, data modeling, and data production.
  • Recommend different ways to constantly improve data reliability and quality.
  • Analyze and organize raw data.
  • Build data-marts that will be consumed by data scientists analysis and data visualization tools.
  • We expect candidates to have knowledge in some, but not necessarily all fields below: Knowledge of non-functional requirements (performance, security, privacy, GDPR, etc.
  • ) Knowledge of Cloud Data Platform (AWS RedShift, AWS EMR, SnowFlake) Knowledge of unit, integration, and E2E testing Knowledge of using Python or other scripting languages to automate day-to-day tasks Knowledge of different SQL and NoSQL databases Benefits: Health plan and dental plan Extended parenting leave Gympass Life insurance Partnership with an online mental health platform CI&T University Discount Club Support Program: financial; physiotherapy; psychological guidance; nutritionist and more Pregnancy course and responsible parenthood Partnership with online course platforms Platform for language learning And many others CI&T is an equal-opportunity employer.
  • We celebrate and appreciate the diversity of our CI&Ters identities and lived experiences.
  • We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
  • At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments.
  • We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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