AWS Data Engineer

1 week ago


London, Greater London, United Kingdom Databuzzltd Full time
Job Description

Job Title: Data Engineer

Location: London

Job Type: Permanent

Work Type: Hybrid

Salary : £50,000 to £55,000 per annum

Are you a sports enthusiast with a passion for working in the sports industry? Whether you're interested in the dynamic world of professional sports, the business of sports management, or the excitement of sports marketing and media, this field offers a wide range of opportunities to turn your love for sports into a fulfilling career. The sports industry is vast and full of possibilities for those eager to immerse themselves in this thrilling and fast-paced environment.

Databuzz is presently seeking an experienced candidate for a Data Engineer role with one of our clients located in London.

About the Client:

Our client is a sports tech company that leverages AI and expert knowledge to offer data and analysis, addressing performance and commercial challenges in the sports and media industries.

About the Role:

As a Data Engineer you will be pivotal in designing, developing, and maintaining data architecture and infrastructure. The ideal candidate should have a strong foundation in Python, PySpark, SQL, and ETL processes, along with proven experience in implementing solutions in a cloud environment.

Roles & Responsibilities:

  • Experienced Data Engineer with a background in high-performance development teams.
  • Extensive AWS Data Engineering experience, including implementing Amazon's frameworks, developing serverless solutions, and enhancing existing platforms using AWS technologies within Agile delivery methods.
  • Proven expertise in Python, including data management and manipulation libraries, and the integration of Python with AWS components.
  • Demonstrated experience in the data domain, encompassing the entire data pipeline from ingestion and mastering to management and distribution of large datasets.

Mandatory Skills:

  • 6+ Years of experience in Design, build, and maintain data pipelines using Python, PySpark and SQL.
  • Develop and maintain ETL processes to move data from various data sources to our data warehouse on AWS.
  • Collaborate with data scientists and business analysts to understand their data needs and develop solutions that meet their requirements.
  • Develop and maintain data models and data dictionaries for our data warehouse.
  • Develop and maintain documentation for our data pipelines and data warehouse.
  • Continuously improve the performance and scalability of our data solutions.

If you're interested, kindly email your updated CV and your expected salary to joy.praneeth @ databuzzltd .com / for further discussion.

Why Us?

At DataBuzzltd, we specialize in global talent acquisition. We are global recruitment firm with expertise in placing candidates in Data Science, Analytics, IoT, Big Data, Data Engineering & Software building, and much more.

By applying to this advert, you are giving DataBuzz Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes.

DataBuzz Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found on our website.

For any further queries - Please email us support @ databuzzltd .com /


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