Blend360
Technology
SeniorDataEngineer
“Senior Data Engineer at Blend360. Skills: Data Engineering, Data Pipelines, Azure Databricks, Data Modeling. Design, develop, and optimize end-to-end data pipelines using. Refactor legacy code to simplify maintenance, updates, and”
Industry & Context.
What They're Looking For.
Must Have
4+ years of experience in Data Engineering, Databricks experience, GitHub repositories and version control workflows experience, Azure Databricks data pipelines development experience, SQL and large-scale data processing experience, Legacy codebases refactoring and maintenance experience, Apache Spark (PySpark preferred) experience, DBT for data transformation and modeling experience, Medallion Architecture understanding, Data modeling understanding, Reusable component design understanding, Scalable data models for analytics and reporting experience, Data quality, performance, and reliability focus, Cross-functional environments work ability, Continuous improvement contribution ability, Independent work ability, Ownership of initiatives ability, Minimal supervision task driving ability
Nice to Have
GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, PhD preferred
What You'll Do.
and optimize end-to-end data pipelines using
Refactor legacy code to simplify maintenance
Design and build modular
reusable code components
and attributes into standardized
Build and maintain scalable data models to support
and reliability across data
Collaborate with analytics and engineering teams to improve
Collaborate with analytics and engineering teams to improve
How You'll Work.
Team & Collaboration
Analytics teams; Data science teams; Business teams; Engineering teams
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