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Locaweb

Senior Data Engineer (Machine Learning & AI Focus) - Remote

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Remote

(Anywhere)

Salary Range

BRL

Full Time Employee

Experience Level

Senior

Requirements

AWS (EC2, Lambda, SQS)
Scala
Banco de Dados
Phyton
Cloud AWS

Tasks and Responsibilities

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With a sense of ownership and collaboration, we join forces to remove barriers and drive

business forward. We don't just offer digital solutions; we build the ecosystem that

drives entrepreneurship in Brazil.

The "it's always been this way" doesn't define us: we question, learn, and evolve with every

challenge, turning mistakes into innovation. And to do that, we build a team that plays together,

because we understand that the success of the whole is greater than any individual interest.

Our mission is to simplify the day-to-day of entrepreneurs, and we do it with

honesty in our relationships and a focus on what really matters.

If you seek consistent results that leave a legacy and believe that technology

only makes sense when it ensures the customer's success, your place is with us!

🚀 What you'll be transforming (Challenge):

In the LWSA ecosystem, you take the lead in driving change. Your goal will be to simplify the

customer journey and ensure our solutions become increasingly fluid,

directly impacting thousands of businesses that rely on our technology to

grow.

✨ What makes our eyes light up:

Are you driven by complex technical challenges and want to be part of a team that transforms, simplifies, and evolves the business of thousands of entrepreneurs across the country? Here at Bling, our data is the central engine of our strategy. If you're looking to work in an environment at scale, with a focus on modern architectures and business value, this is your opportunity.


As a Data Engineer, you will be responsible for building and evolving our data foundations, working end-to-end across the information journey: from identifying sources to transforming and making data available in our analytical layers.Responsibilities and Duties


  • End-to-End Execution: Design and implement robust data pipelines, covering the full cycle: source identification, ingestion, transformation, enrichment, and loading.
  • Architecture and Scale: Develop solutions using distributed architectures (such as Lambda or Kappa), ensuring efficient pipelines for batch and streaming processing.
  • Data Management: Handle large volumes of data while ensuring performance, consistency, and quality across the platform.
  • Integrated Collaboration: Work collaboratively in matrix teams (Squads/Pods), partnering with Software Engineers, scientists, and product teams to deliver high-impact solutions.
  • Technical Evolution: Contribute to the evolution of our Data Lake and infrastructure, always seeking continuous improvement in our engineering standards.

Requirements and Qualifications

  • Academic Background: Completed bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, Statistics, or related fields.
  • Technical Experience: Solid experience in data engineering, with hands-on experience handling large volumes of data.
  • Stack: Strong experience with Open Source ecosystem tools (e.g., Apache Spark, Kafka, Hudi, or similar).
    • Desired Knowledge:Mastery of Lambda/Kappa architecture.
    • Cloud experience (preferably AWS).
    • Proficiency in languages such as Python or Scala.
    • Knowledge of databases (relational and non-relational) and vector databases.

Expected Behaviors (Blinger DNA)

  • Teamwork: Ability to collaborate, share knowledge, and work with a team mindset.
  • Analytical Thinking: Ability to solve complex problems and question the status quo.
  • Ownership and Agility: Sense of responsibility for deliverables and focus on quickly resolving problems.
  • Communication: Excellent verbal and written communication skills, facilitating understanding between technical and business areas.

If you identify with this description and are ready for a new challenge where you can exercise your technical leadership and make a significant impact, apply now! Come join the Bling team and help us innovate and build a data-driven future.

🍃 Benefits for your journey:

● For your day-to-day

  • Childcare Assistance
  • iFood Benefits Meal Voucher
  • Transportation Voucher

● Health and Well-being

  • SulAmérica Medical Assistance
  • SulAmérica Dental Assistance
  • MetLife Life Insurance
  • Wellhub (formerly Gympass)

● Perks and Partnerships

  • SESC Membership
  • Day Off in your birth month
  • Onhappy (discount subscription for accommodations and flights)
  • Flockr Pet Health Plan
  • Profit Sharing Program (PPR)

💡Why this role is for you?

Here you have room to build your own career path and grow with one of

the largest technology ecosystems in the country.

You'll be part of an environment that values open debates, encourages innovation, and

offers the opportunity to create real and lasting impact in the digital market.

We believe that nothing great is built alone, which is why your growth here is

constant and collective.

How to apply

Applications are made on this page, directly with the company. You need a CV in PDF and an email address to confirm the application.

Share job:

How to apply

Applications are made on this page, directly with the company. You need a CV in PDF and an email address to confirm the application.

Share job: