Role overview

Data Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Details

  • Lay down the foundation and model the data
  • Develop a platform for building and maintaining data pipelines that collect data from different sources
  • Create Data Warehouse
  • Analyze and prepare domain descriptions in collaboration with Business analytics
  • Create Data Marts
  • Design a permission model with flexible control over vertical and horizontal access to data
  • Conceptual knowledge of data analytics fundamentals, e.g., dimensional modeling, ETL/ELT, reporting tools, data governance, data warehousing, structured and unstructured data
  • Strong SQL knowledge and experience with RDBMS, confident knowledge of database fundamentals
  • Experience in database development and data modeling, ideally with Databricks/Spark
  • Experience with Python
  • Experience with Azure
  • Working knowledge of serialization formats and their trade-offs (columnar vs. row-based)
  • Experience debugging and optimizing Spark jobs
  • Strong written and verbal communication skills
  • At least an Upper-Intermediate level of English
  • BS in Computer Science or a related field

WOULD BE A PLUS

  • Experience with a Business Intelligence tool
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAzure, Python, SparkPrimary skills
Location1 accepted countryEligibility

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