Blend360

AI services

SeniorDataEngineer

Bogotá, Colombia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Data Engineer at Blend360. Skills: Data Engineering, Databricks, Data Modeling, Code Refactoring. Maintain code repositories. Refactor legacy code”

What You'll Achieve.

Support Journey Analytics initiatives; Enable flexible journey views; Support current and future analytics use cases

Industry & Context.

AI services
Eligibility Requirements

Travel opportunities

What They're Looking For.

Must Have

4+ years of experience in Data Engineering, experience working with GitHub repositories and version control workflows, Hands-on experience developing and maintaining data pipelines in Databricks, Proven experience refactoring and maintaining legacy codebases, understanding of data modeling and reusable component design, Experience building scalable data models for analytics and reporting use cases, focus on data quality, performance, and reliability, Ability to work in cross-functional environments and contribute to continuous improvement, Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision

Nice to Have

Certifications in AWS, Databricks, and Snowflake, Experience using Genie (Databricks)

What You'll Do.

Maintain code repositories

Design modular code components

Develop automated data pipelines

Consolidate KPIs and metrics

Build scalable data models

Ensure data quality and reliability

How You'll Work.

Team & Collaboration

Collaborate with analytics and engineering teams

Communication Scope

English lessons

Full Job Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit [www.blend360.com](http://www.blend360.com/) Build, maintain, and optimize scalable data solutions to support Journey Analytics initiatives, focusing on code maintainability, reusable components, and reliable data pipelines. This role is responsible for maintaining and refactoring existing codebases, developing modular components, and ensuring high-quality, performant datasets for analytics and reporting use cases. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments. Responsibilities * Maintain, optimize, and automate existing code repositories in GitHub. * Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. * Design and build modular, reusable code components to support multiple journeys and reduce duplication. * Develop and manage automated data pipelines in Databricks to support Journey Analytics datasets and downstream reporting. * Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. * Build and maintain scalable data models to support current and future journey analytics use cases. * Ensure data quality, performance, and reliability across data pipelines and analytics datasets

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