Vaga de parceiro

Sr Data Engineer, SDE, ADSC - São Paulo / 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

  • Collaborating with business owners, subject matter experts, and go-to-market teams, you will build innovative solutions to support clinical trials, optimize their design and execution, and improve risk management.
  • You will be involved in every stage of the product development lifecycle, working with data scientists to turn prototypes into well-abstracted reusable services, and build software to expose data science models to business users through responsive UIs.
  • Supporting a culture of continuous improvement, you will also provide architectural guidance, shape coding standards, and mentor engineers and data scientists.
  • The ideal candidate will be an innovative software engineer with a keen interest in exploring and adopting new technologies for continuous improvement.
  • Additionally, they should possess extensive experience in data processing, coupled with a solid understanding of data modeling and governance principles.
  • Key Responsibilities: Consistently deliver robust, high-quality, reliable engineering outcomes in cross-functional autonomous scrum teams.
  • Research current and emerging industry tools and techniques, sharing findings with colleagues.
  • Drive curiosity and innovation, establishing and enforcing standards.
  • Facilitate cross-team knowledge sharing.
  • Design and lead engineering efforts for building business applications.
  • Collaborate with engineers and leaders from other organizations inside the company.
  • Support product owners by understanding business requirements and helping the team break these into stories.
  • Lead cross-team exercises, including DevOps incident management bridges.
  • Lead documentation efforts for product architecture and security compliance.
  • Perform code reviews and provide constructive feedback for work submitted by other engineers.
  • Consistently apply SDLC processes.
  • Mentor interns, apprentices, and other engineers.
  • Additional Responsibilities: Design and build systems to Extract, Load, and Transform data from various sources into organized information that can be easily consumed by data scientists for model-building (such as LLM), applications, and business analysts.
  • Required Skills: Strong ELT experience.
  • Strong Python and data frame processing experience.
  • Strong Relational Database and SQL skills, with knowledge and experience of non-SQL databases.
  • Data modeling knowledge and experience.
  • Data warehouse knowledge and experience.
  • Data governance knowledge and experience.
  • Qualifications: 5+ years of relevant collaborative software engineering experience.
  • 2+ years full-time engineering experience across at least two different companies.
  • Solid understanding of computer science fundamentals.
  • Expert familiarity with backend development (Python) or frontend development using a JavaScript framework such as React.
  • js, with familiarity in both areas required.
  • Experience designing applications using a microservices architecture.
  • Knowledge of Kubernetes or another container orchestration platform.
  • Experience with relational databases.
  • Experience with data ingestion.
  • Experience with BI tools.
  • Experience building RESTful APIs.
  • Knowledge of Linux command line tools.
  • Demonstrated in-depth understanding of product development lifecycle.
  • Demonstrated aptitude for and interest in peer mentorship.
  • Good verbal and written communication skills.
  • Knowledge of Agile methodology and experience working in a collaborative Agile environment.
  • Preferred Qualifications: Experience with data modeling.
  • Experience working with cloud platforms (AWS, Azure, Google Cloud, etc.
  • ).
  • Experience working with large volumes of complex data with workflow management tools like Airflow.
  • Experience with non-relational databases.
  • Knowledge of UX principles.
  • Experience with the clinical domain and regulated data.
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Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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