Valtech is looking for a Data Engineer to join our team. In this role, you will focus on building and supporting batch, distributed, and real-time data pipelines. We are seeking curious problem solvers who use programming to express intellectual curiosity and solve complex challenges.

What You'll Do

Demonstrate deep domain knowledge to build and support non-interactive (batch, distributed) and 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 for all assigned systems and projects.
Tune queries running over billions of rows of data in a distributed query engine.
Perform root cause analysis to identify permanent resolutions to software or business process issues.

What We're Looking For

Proven industry experience in data engineering, analytics, or data science, or a Bachelors/Masters degree in quantitative studies (Engineering, Mathematics, Statistics, Computer Science, etc.).
More than 2 years of experience with strong/expert Spark (PySpark) using Databricks, Jupyter Notebooks, or Colab.
More than 2 years of hands-on data pipeline development and ingest patterns in Azure orchestration tools like Azure Data Factory (ADF) or Airflow.
More than 2 years of experience with SQL.
More than 2 years of experience with Denormalized Data modeling for big data systems.
Collaborative, proactive, and communicative, able to work remotely while remaining engaged as a team member.
Strong analytical and design skills.
Advanced English proficiency.

Nice to Have

Familiarity with visualization/reporting tools such as Tableau and PowerBI.
Familiarity with semantic/metadata layer tools like Databricks Unity Catalog and Azure Purview.
Proficiency scripting in a UNIX environment.
Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
Proficiency with cloud architecture components (AWS, Azure, Google).
Proficiency with data pipeline software like Airflow, Azure Data Factory, or Prefect.
Familiarity with front and back-end web application stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) and API design and usage (REST/GraphQL).
Experience leading and managing technical data, analytics, or machine learning projects.

Technical Stack

Data Processing & Notebooks: Spark (PySpark), Databricks, Jupyter Notebooks, Colab
Orchestration & Pipelines: Azure Data Factory (ADF), Airflow, Prefect
Data & Query: SQL, Hive, Impala, Pig
Cloud Platforms: AWS, Azure, Google Cloud Platform
BI & Governance: Tableau, PowerBI, Databricks Unity Catalog, Azure Purview
Web & API: Javascript, HTML, CSS, React/Vue/AngularJS, REST/GraphQL

Benefits & Compensation

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.

Work Mode

This is a remote position for candidates located in Mexico.

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.