Blend360
Tech / AI / Software
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Engineering, Databricks, Snowflake, Data Modeling, Data Pipelines. Build, maintain, and optimize scalable data solutions to support Journey Analytics initiatives. Maintain, optimize, and automate existing code repositories in GitHub”
What You'll Achieve.
unlocking value and fostering innovation for its clients; creating more fulfilling work and projects for our people and clients
Industry & Context.
Travel opportunities to attend industry conferences and meet clients
What They're Looking For.
Must Have
experience working with GitHub repositories and version control workflows, Hands-on experience developing and maintaining data pipelines in Databricks or Snowflake, 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, excellent written and verbal English for clear and effective communication with the team, at least 5+ years of experience in data engineering or similar roles
Nice to Have
Certifications in AWS, Certifications in Databricks, Certifications in Snowflake, Access to AI learning paths, Study plans, courses, and additional certifications tailored to your role, Access to Udemy Business, English lessons to support your professional communication, Travel opportunities to attend industry conferences and meet clients, Career development plans and mentorship programs, Special day rewards, Company-provided equipment, Flexible working options
What You'll Do.
and optimize scalable data solutions to support Journey Analytics initiatives
and automate existing code repositories in GitHub
Refactor legacy code to simplify maintenance
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
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
and reliability across data pipelines and analytics datasets
How You'll Work.
Team & Collaboration
Collaborate with analytics and engineering teams to improve data processes and architecture
Communication Scope
excellent written and verbal English for clear and effective communication with the team
Process & Methodology
driving tasks forward with minimal supervision
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 or Snowflake, 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 analy
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