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Cloud Data Architect

vor 3 Wochen

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Navori Labs enables enterprise executives to define their AI and data strategy, execute large-scale transformations, and implement AI across operations. Our team of experts helps organizations build future-proof systems by providing actionable insights from large and complex datasets.

Role Overview

The Senior Data Engineer will work with various stakeholders to provide business leaders with valuable insights from large and complex datasets. Starting from raw data, the engineer will help build robust systems to make this data usable and accessible.

Responsibilities
  • Assess and understand client data landscapes and assess data quality.
  • Work closely with business and IT stakeholders to understand business requirements.
  • Participate in technical sales activities.
  • Work with high volumes of heterogeneous data using distributed systems.

This role requires over 5 years of experience building data assets and pipelines using platforms like Databricks and Snowflake. The ideal candidate will be proficient in cloud technologies (Azure, AWS) and related data services, skilled in data visualization tools such as Tableau, PowerBI, and Quicksight, experienced with distributed data processing frameworks like Spark, knowledgeable in designing and maintaining production-level data warehouses and provisioning data lakes, and familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns.

Requirements
  • Over 5 years of experience building data assets and pipelines using platforms like Databricks and Snowflake.
  • Proficient in cloud technologies (Azure, AWS) and related data services.
  • Skilled in data visualization tools such as Tableau, PowerBI, and Quicksight.
  • Experienced with distributed data processing frameworks like Spark.
  • Familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns.