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My client is a technology provider to the global Consumer / Insight and market research industry.
They use cutting edge technology to help their clients gain a deeper insight into the digital lives of consumers.
They are looking for a SNR Data Engineer to join their team and play a crucial role in the Data Engineer Team, ensuring the main function is developing, maintaining and improving the end-to-end data pipeline at my client.
The Role:
You will be working in the Data Engineering team whose main function is developing, maintaining and improving the end-to-end data pipeline at my client that includes real-time data processing; extract, transform, load jobs; artificial intelligence; and data analytics on a complex and large dataset.
Your role will primarily be to perform DevOps, backend and cloud development on the data infrastructure to develop innovative solutions to effectively scale and maintain the data platform. You will be working on complex data problems in a challenging and fun environment, using some of the latest Big Data open-source technologies like Apache Spark, as well as Amazon Web Service technologies including Elastic MapReduce, Athena and Lambda to develop scalable data solutions.
Key Responsibilities:
- Writing application code and tests that conform to standards.
- Developing infrastructure automation and scheduling scripts for reliable data processing.
- Continually evaluating and contribute towards using cutting-edge tools and technologies to improve the design, architecture and performance of the data platform.
- Supporting the production systems running the deployed data software.
Here’s what we’re looking for:
- The ability to problem solve.
- Knowledge of AWS or equivalent cloud technologies.
- Knowledge of Serverless technologies, frameworks and best practices.
- Experience using AWS CloudFormation or Terraform for infrastructure automation.
- Knowledge of Scala or OO language such as Java or C#.
- SQL or Python development experience.
- High-quality coding and testing practices.
- Willingness to learn new technologies and methodologies.
- Knowledge of agile software development practices including continuous integration, automated testing and working with software engineering requirements and specifications.
