Cloud Data Engineer (Azure) - REMOTE ( No Sponsorship ; No c2c )


14 May 2023


Full Time


3 - 10 years

The Cloud Data Engineer is part of a Data Management team that is responsible for modernizing and transforming data and reporting capabilities across products by implementing a new modernized data architecture. The position will be responsible for day-to-day data collection, transportation, maintenance/curation, and access to the corporate data asset. The Cloud Data Engineer will work cross-functionally across the enterprise to centralize data and standardize it for use by business reporting, machine learning, data science or other stakeholders. This position plays a critical role in increasing the awareness about available data and democratizing access to it across our data partners.


  • Crafting and maintaining efficient data pipeline architecture.
  • Assembling large, complex data sets that meet functional / non-functional business requirements.
  • Create and maintain optimal data pipeline/flow architecture.
  • Identifying, crafting, and implementing internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
  • Working with technical and non-technical stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Working with the team to strive for clean and meaningful data, and greater functionality and flexibility within the team’s data systems.
  • Design processes supporting data transformation, data structures, metadata, dependency, and workload management.



  • Cloud data engineering experience in Azure.
  • Advanced working knowledge of SQL and NoSQL query authoring.
  • Experience working with streams such as Event Hubs and Event Driven Architectures.
  • Experience building data engineering pipelines in Azure (ADF, Databricks, or Synapse).
  • Experience with Microsoft Power Platform including Power BI and Power Apps.
  • Proficiency with object-oriented/object function scripting languages: Python, C#, etc.
  • Experience with big data tools: Databricks, Spark, etc.
  • Experience building, maintaining, and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources.
  • Strong project management, communication, and organizational skills.
  • Bachelor’s degree or equivalent experience.