Blend360
AI services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Engineering, Azure Databricks, Data pipelines. Design data pipelines. Develop data pipelines”
What You'll Achieve.
Deliver reliable data solutions; Deliver high-performance data solutions; Enable data-driven decision-making
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
4+ years of experience in Data Engineering, Experience with GitHub repositories, Experience developing data pipelines in Azure Databricks, Experience with SQL, Experience refactoring legacy codebases, Hands-on experience with Apache Spark, Experience working with dbt, Understanding of data modeling, Experience building scalable data models, Focus on data quality, Ability to work in cross-functional environments, Ability to work independently
Nice to Have
PySpark preferred, Medallion Architecture understanding, Reusable component design understanding
What You'll Do.
Design data pipelines
Develop data pipelines
Optimize data pipelines
Design modular code components
Build reusable code components
Consolidate attributes
Collaborate with analytics teams
Collaborate with engineering teams
Improve data processes
Improve data architecture
How You'll Work.
Team & Collaboration
Analytics teams; Data science teams; Business teams; Engineering teams; Cross-functional environments
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/) We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making. 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 * Design, develop, and optimize end-to-end data pipelines using Azure Databricks * 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. * 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. * Collaborate with analytics and engineering teams to improve data processes and architecture. ## Qualifications * 4+ years of experience i
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