Data Engineer II

Data Engineer II

Job Overview

Location
London, England
Job Type
Full Time Job
Job ID
28373
Date Posted
1 year ago
Recruiter
John Apl
Job Views
82

Job Description

We are hiring data engineers to help us build our next generation of Data Platforms and Data Pipelines to fulfil our vision of utilizing big data and machine learning techniques to build, manage, and operate mobile networks effectively and efficiently, to address the challenges caused by the ever-increasing scale and complexity of Azure, and the ever-increasing customer base and workload diversity. Quality is first and foremost in our minds and understanding signals from the data to improve quality is essential.

 

Responsibilities

Responsibilities

  • Building data systems and pipelines
  • Preparing data for prescriptive and predictive modelling
  • Evaluating business needs and objectives
  • Collaborating with data scientists and architects on projects
  • Collaborating with data scientists and architects on projects
  • Analyzing and organizing raw data
  • Drive improvements to the product design and architecture, leading to increased customer satisfaction

 

Who You Are? 

  • Highly energetic and proactive with growth mindset
  • Enjoy making sense of chaos and data.
  • Passionate about the latest developments in technology
  • You are excited to innovate and understand the balance between trying something new and doing something tried.
  • You ask thoughtful questions, aren't afraid to fail, and constantly seek to be better.
  • A collaborative team player with the ability to shift gears quickly, efficiently, and effectively.
  • Dependable and reliable with clear thinking and attention to details

Qualifications

  • 7+ years of professional/industry experience
  • 5+ years working on Big Data and Data pipelines.
  • Expertise in Python or equivalent programming language [ GoLang, Java, C++ etc]
  • Expertise in SQL and NO-SQL databases
  • Passionate about designing elegant ETL pipelines.
  • Experience and expertise in Azure Data Lake, ADX, Snowflake, Kusto query, ELK stack, Kafka etc.
  • Expertise and experience in building Large Data Lakes and data warehouses.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Job ID: 28373

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