Data Engineer Snowflake/Agentic AI

Valtech

Colombia

Híbrido

COP 120.000.000 - 180.000.000

Jornada completa

hace 28 horas
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Ventajas ofrecidas por este puesto de trabajo

Remote and hybrid work options
International mobility
Professional development programs
Cutting-edge tools

Descripción de la vacante

Valtech is seeking a Senior Data Engineer in Colombia to design and maintain scalable data pipelines using Databricks and Azure. You will work with SQL and Python to move data across zones, build batch and real-time processes, and ensure fault-tolerant operations in a distributed environment.

You’ll collaborate across teams, contribute to documentation, and apply automation, cloud services, and modern data architectures to drive impactful analytics and product decisions within a global,

Formación

  • Must have strong data engineering/analytics/work with data science projects or related quantitative degrees
  • Experience with Databricks and Azure for data pipelines and cloud-based architectures
  • Proficiency in SQL (T-SQL) and Python; knowledge of FastAPI is a plus
  • Familiarity with Kafka (consuming) and distributed data systems
  • Understanding of acceptance/likelihood models and basic ML concepts is desirable
  • Ability to read C# logic to extract business rules; not required to write it
  • Experience with S3, RDS, Secrets Manager, CloudWatch is beneficial
  • Terraform fluency and infrastructure as code practice
  • Bachelor’s or Master’s in engineering, maths, stats, CS or computation-intensive studies

Responsabilidades

  • Build and support batch, distributed, and real-time data pipelines that are highly available
  • Develop fault-tolerant, self-healing data processing systems
  • Lead complex program implementations and provide technical consultation
  • Document all systems and projects thoroughly
  • Tune queries over billions of rows in distributed engines
  • Perform root cause analysis to resolve software or process issues

Conocimientos

Agentic AI
Kafka (consuming)
Python
FastAPI
Reading C# logic
Spark
Data modeling

Educación

Bachelor's or Master's in quantitative studies (Engineering, Mathematics, Statistics, CS)

Herramientas

Databricks
Azure
Snowflake
PostgreSQL
SQL Server (T-SQL)
AWS (S3, RDS, Secrets Manager, CloudWatch)
Terraform

Descripción del empleo

Why Valtech?

We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.


The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.


We Are Proud Of

The work we do and the innovation we drive



  • Our values of share, care and dare

  • A workplace culture that fosters creativity, diversity and autonomy

  • Our borderless, global framework, which enables seamless collaboration


The role

For the Senior Data Engineer role, it’s important to have a strong background in data engineering, specifically within Databricks and Azure. To effectively manage this project and move data between zones in Databricks, the ideal candidate should be proficient in SQL and Python. They should also be comfortable with Spark, data management, cloud services, and automation tools.


Role Responsibilities


  • Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines

  • Build fault‑tolerant, self-healing, adaptive, and highly accurate data computational pipelines

  • Provide consultation and lead the implementation of complex programs

  • Develop and maintain documentation relating to all assigned systems and projects

  • Tune queries running over billions of rows of data running in a distributed query engine

  • Perform root cause analysis to identify permanent resolutions to software or business process issues


Must Have Qualifications

To be considered for this role, you must meet the following essential qualifications:



  • Agentic AI, Snowflake

  • SQL Server (T-SQL, query-heavy, not ORM)

  • PostgreSQL (read‑only, for the Cargotel replica)

  • Python + FastAPI

  • scikit‑learn (percentiles, outlier detection)

  • Understands acceptance/likelihood models (carrier‑accept‑probability logic)

  • Kafka (consuming, not building)

  • Can read C# well enough to extract logic (not write it)

  • AWS basics: S3, RDS, Secrets Manager, CloudWatch

  • Terraform (read fluency)

  • Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.


Nice To Have Qualifications


  • SQL Server (T‑SQL, query-heavy, not ORM)

  • PostgreSQL (read‑only, for the Cargotel replica)


If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.


The Benefits

This is a full time position based in Colombia


Beyond a Competitive Compensation Package, We Offer


  • Flexibility, with remote and hybrid work options (country-dependent)

  • Career advancement, with international mobility and professional development programs

  • Learning and development, with access to cutting‑edge tools, training and industry experts


Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.


Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.


Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.


We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.


About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.


At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.


At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.


Are you ready to create what’s next? Join us.


For applicants in California, please see Valtech's CPRA Privacy Notice here.

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