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Senior Data Engineer

Skills
Data EngineeringRelational DatabasesBig DataData ModelingData ModelsDatabasesExtract
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 4+ years of Data Engineering Experience on BigData Systems
  • Experience with Data Lakes/Warehouse/Lakehouse and Relational Databases
  • Experience orchestrating ETL/ELT Data pipelines
  • Strong experience in Python/Java/C programming languages Data Modeling & SQL programming

Nice to have

  • Experience with multi-hop medallion architecture and domain driven data models
  • Experience working with and implementing open source applications
  • Experience with DBT Hex and GCP
  • Experience building real time (streaming data) pipelines and/or APIs
  • Familiarity with Agile Scrum principles and SDLC practices

Day to day

  • Architect and automate end-2-end data processing and data management lifecycle on Google Cloud Platform
  • Collaborate with XFN partners (Product Managers Data Scientists Machine Learning Engineers Application Sources etc) to capture requirements and build a robust data platform
  • Perform data analysis build data pipelines and build canonical datasets and domain data models to empower users to make data driven business decisions
  • Mentor other junior team members