Data Engineer

17 hours ago

Romania Nokia Global Full time 40,000 - 60,000 per year
Description

Network Infrastructure: The pandemic has highlighted how important telecoms networks are to society. Nokia's Network Infrastructure group is at the heart of a revolution to bring more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise.

We are seeking an experienced Data Engineer to support our growing data infrastructure and analytics needs. As a key member of our team, you will leverage Azure Data Services, including Azure Data Factory and Azure SQL Server, to manage, analyze, and optimize large datasets. Your expertise will contribute to building and maintaining data pipelines, ensuring that complex data sets meet business requirements, and identifying opportunities to improve internal processes. You will play a critical role in deriving actionable insights from data to drive business growth and efficiency.

 

Responsibilities
  • Manage and analyze large datasets using Azure Data Services to support business objectives and advanced analytics.
  • Build and maintain datasets using Azure SQL Server and Azure Data Factory.
  • Assemble and organize complex data sets that meet the needs of various business functions and help to inform strategic decision-making.
  • Design and implement internal process improvements to optimize data workflows, data quality, and system efficiencies.
  • Collaborate with cross-functional teams to ensure that the data infrastructure supports the team's needs and drives data-driven decision-making.
  • Provide actionable insights from complex data sets and communicate findings effectively to non-technical stakeholders.
     
Qualifications
  • At least 3 years of experience working with Azure Data Factory or Azure/MS SQL Server.
  • Proficiency in building, optimizing, and maintaining data pipelines, architectures, and data sets.
  • Strong analytical skills, particularly in working with unstructured datasets and complex data models.
  • Experience working with Big Data technologies and large-scale data environments.
  • Expertise in data analysis, statistical methods, and data modeling techniques.
  • Proven ability to design and implement data processes that align with functional business requirements.

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