Data Intelligence Automation Engineer

Colombia - Colombia

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

We are:
Wizeline a global AI-native technology solutions provider develops cutting-edge AI-powered digital products and platforms. We partner with clients to leverage data and AI accelerating market entry and driving business transformation. As a global community of innovators we foster a culture of growth collaboration and impact.

With the right people and the right ideas theres no limit to what we can achieve

Are you a fit
Sounds awesome right Now lets make sure youre a good fit for the role:

Key Responsibilities

Architect and Build the Core Knowledge Base (KB): Design build and maintain a centralized version-controlled knowledge base (in platforms like Atlan GitHub or Snowflake) that meticulously maps raw context variables (client-side/application layer) to their corresponding final fields in analytics platforms (Adobe Analytics Google Analytics 4 etc.).
Develop Intelligent Agents: Leverage the centralized knowledge base to engineer and deploy interactive applications chatbots or agents that can:
-Recommend engineering specifications for new features based on patterns from previous successful implementations.
-Provide immediate context and documentation to engineers and product managers on data variables
-Assist in real-time root cause analysis for data-related issues.
Establish QA Automation: Design and implement a scalable automated QA framework and toolset to test data collection workflows end-to-end integrating validation checks directly into the continuous integration/continuous deployment (CI/CD) pipeline.
Set Governance Standards: Define and enforce data governance standards metadata practices and documentation requirements for the new Knowledge Base and automation assets.
Technical Leadership: Act as a technical subject matter expert for the development teams collaborating on the integration of the new tools and systems into the existing technology stack (web mobile OTT).

Must-have Skills:

7 years Development & Programming: Strong experience in software development with proficiency in languages like Python (for automation/agent development) and/or JavaScript/ (for web integration/tooling).
7 years SQL & Cloud Data Warehouse Experience: Expert-level SQL skills and experience working with cloud data warehouses (e.g. Snowflake BigQuery) for data ingestion querying and validation.
4 years Data Modeling & Architecture: Demonstrated ability to design robust and scalable data models schemas and relational structures for knowledge repositories.
QA Automation: Proven experience in building and deploying automated testing solutions preferably in the data or digital analytics space (e.g. using frameworks like Cypress Playwright or custom validation libraries).
Technical Documentation: Experience creating technical documentation for internal developer tools and data pipelines emphasizing clarity and accuracy.
Digital Analytics Concepts: Solid understanding of digital product data tracking concepts including client-side variables event structures and the final data schemas of major platforms (Adobe Analytics/GA4).
Version Control: Proficiency with Git and GitHub/GitLab workflows.

Nice-to-have:

AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work including drafting analysis research or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
Familiarity with Large Language Models (LLMs) GenAI or knowledge retrieval architectures (RAG) for building intelligent recommendation systems.
Experience with data cataloging/governance platforms such as Atlan Collibra or Alation.
Experience in the media industry.
Familiarity with the software development lifecycle (SDLC) from a tooling and automation perspective.

What we offer:

A High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

Required Experience:

We are:Wizeline a global AI-native technology solutions provider develops cutting-edge AI-powered digital products and platforms. We partner with clients to leverage data and AI accelerating market entry and driving business transformation. As a global community of innovators we foster a culture of ...

Are you a fit
Sounds awesome right Now lets make sure youre a good fit for the role:

Key Responsibilities

Architect and Build the Core Knowledge Base (KB): Design build and maintain a centralized version-controlled knowledge base (in platforms like Atlan GitHub or Snowflake) that meticulously maps raw context variables (client-side/application layer) to their corresponding final fields in analytics platforms (Adobe Analytics Google Analytics 4 etc.).
Develop Intelligent Agents: Leverage the centralized knowledge base to engineer and deploy interactive applications chatbots or agents that can:
-Recommend engineering specifications for new features based on patterns from previous successful implementations.
-Provide immediate context and documentation to engineers and product managers on data variables
-Assist in real-time root cause analysis for data-related issues.
Establish QA Automation: Design and implement a scalable automated QA framework and toolset to test data collection workflows end-to-end integrating validation checks directly into the continuous integration/continuous deployment (CI/CD) pipeline.
Set Governance Standards: Define and enforce data governance standards metadata practices and documentation requirements for the new Knowledge Base and automation assets.
Technical Leadership: Act as a technical subject matter expert for the development teams collaborating on the integration of the new tools and systems into the existing technology stack (web mobile OTT).

Must-have Skills:

7 years Development & Programming: Strong experience in software development with proficiency in languages like Python (for automation/agent development) and/or JavaScript/ (for web integration/tooling).
7 years SQL & Cloud Data Warehouse Experience: Expert-level SQL skills and experience working with cloud data warehouses (e.g. Snowflake BigQuery) for data ingestion querying and validation.
4 years Data Modeling & Architecture: Demonstrated ability to design robust and scalable data models schemas and relational structures for knowledge repositories.
QA Automation: Proven experience in building and deploying automated testing solutions preferably in the data or digital analytics space (e.g. using frameworks like Cypress Playwright or custom validation libraries).
Technical Documentation: Experience creating technical documentation for internal developer tools and data pipelines emphasizing clarity and accuracy.
Digital Analytics Concepts: Solid understanding of digital product data tracking concepts including client-side variables event structures and the final data schemas of major platforms (Adobe Analytics/GA4).
Version Control: Proficiency with Git and GitHub/GitLab workflows.

Nice-to-have:

AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work including drafting analysis research or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
Familiarity with Large Language Models (LLMs) GenAI or knowledge retrieval architectures (RAG) for building intelligent recommendation systems.
Experience with data cataloging/governance platforms such as Atlan Collibra or Alation.
Experience in the media industry.
Familiarity with the software development lifecycle (SDLC) from a tooling and automation perspective.

What we offer:

A High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

Required Experience:

Key Skills

Continuous Integration
APIs
Automotive software
Test Cases
Electrical Engineering
Junit
Distributed Control Systems
Testng
Java
Test Automation
Programmable Logic Controllers
Selenium

Apply Now

About Company

Wizeline

Wizeline is a global technology services company founded in Mexico, now partnering with clients worldwide to accelerate their digital agendas. We combine a boutique approach with enterprise-scale delivery to modernize infrastructure, engineer data-driven solutions, and integrate cutti ... View more

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