Data Engineer

Amazon Warehouse Jobs London, We are searching for an accountable, multitalented data engineer to facilitate the operations of our data scientists. The data engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.

During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project. To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism.

A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills. Data engineers employ various tools and techniques to construct frameworks that prepare information for use by data scientists. Python, Java, R, and C++ are among the most common coding languages used by data engineers.

Job Details

Hiring Organization Amazon
Post Name Data Engineer
Remote NA
Industry Private
Employment Type Full Time
Work Hours 8 Hours
Salary GBP 4000 To GBP 5000 Per Month
Location LondonEnglandUnited Kingdom  NW10 0UP

About Organization

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s most customer-centric company, Earth’s best employer, and Earth’s safest place to work.

Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfilment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

Our Leadership Principles are more than inspirational posters. The 16 principles guide our discussions and decisions every day. At Amazon, we are committed to playing our part in the UK by creating jobs, investing in the UK, empowering small businesses, tackling climate change, and supporting our local communities.

Responsibilities

  • Liaising with coworkers and clients to elucidate the requirements for each task.
  • Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
  • Reformulating existing frameworks to optimize their functioning.
  • Testing such structures to ensure that they are fit for use.
  • Preparing raw data for manipulation by data scientists.
  • Detecting and correcting errors in your work.
  • Ensuring that your work remains backed up and readily accessible to relevant coworkers.
  • Remaining up-to-date with industry standards and technological advancements will improve the quality of your outputs.

Skills & Requirements

  • Bachelor’s degree in data engineering, big data analytics, computer engineering, or related field.
  • A Master’s degree in a relevant field is advantageous.
  • Proven experience as a data engineer, software developer, or similar.
  • Expert proficiency in Python, C++, Java, R, and SQL.
  • Familiarity with Hadoop or suitable equivalent.
  • Excellent analytical and problem-solving skills.
  • A knack for independence and group work.
  • Scrupulous approach to duties.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

Benefits

  • Job Satisfaction. It’s ideal to find a career that you enjoy. 
  • Variety of Career Opportunities. 
  • Potential to Benefit Society. 
  • Challenging Work. 
  • Intellectual Development. 
  • Creative Thinking. 
  • Technological and Scientific Discovery. 
  • Financial Security.

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