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An innovative technology provider is seeking a Senior Data Engineer to enhance their data pipeline. In this role, you will work with cutting-edge tools like Apache Spark and AWS technologies to develop scalable solutions for complex data challenges. You will be part of a dynamic team focused on creating high-quality data infrastructure and automating processes. This position offers a unique opportunity to grow your skills in a fun, collaborative environment while tackling exciting data problems. If you're passionate about data and eager to make an impact, this role is perfect for you.
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:
Here’s what we’re looking for: