AWS Senior Data Engineer

4 weeks ago


Wakefield, Wakefield, United Kingdom Nurun Full time
Transformative Data Applications

Nurun is seeking a highly skilled AWS Senior Data Engineer to join our team. As a key member of our Publicis Groupe, we have been transforming customer experiences into meaningful, human-centric engagements for over 50 years. Our mission is to grow our clients' businesses by driving transformative data applications, with a commitment to transparency, best-in-class data analytics, technology, and innovation.

Your Impact

You will play a crucial role in developing cutting-edge, cloud-based data solutions that empower our clients to harness the full potential of their data. By leading with innovation, you will help shape new product offerings and streamline billions of daily data events using technologies like Spark, AWS, and Azure. Collaborating with cross-functional teams, you will drive meaningful transformations in how we approach data, while mentoring fellow engineers to ensure collective success in delivering high-quality, scalable solutions.

What You'll Achieve
  • Deliver high-performance, scalable cloud-based solutions processing billions of data events daily.
  • Lead the design and implementation of data-driven applications that power new product offerings.
  • Ensure robust deployment practices using CI/CD, DevOps tools, and cloud infrastructure provisioning.
  • Drive impactful innovation in data handling and system performance across AWS and Azure environments.
What We're Looking For
  • Educational Background: Bachelor's or Master's degree in computer science or a related field.
  • Experience: 6+ years of hands-on software development experience with Python.
  • Big Data Expertise: Proficiency in big data technologies, including Hadoop and Spark.
  • Software Engineering Skills: Strong understanding of software engineering methodologies, including functional and object-oriented design patterns.
  • Data Management: Experience with distributed data processing and managing large datasets.
  • Cloud Proficiency: Familiarity with deploying and configuring Databricks in AWS and Azure environments.
  • Development Environment: Proficiency in Linux, MacOS, and Windows development platforms.
  • CI/CD and DevOps: Experience with CI/CD pipelines (GoCD, Jenkins) and solid knowledge of DevOps methodologies.
  • Testing Methodologies: Strong background in testing methodologies and test-driven development (TDD).
  • Linux Systems: In-depth knowledge of Linux systems.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about data engineering and innovation, we encourage you to apply.


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