Data Engineer, Amazon Web Services, AWS Data Platform

Amazon; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you'll leverage cutting-edge AWS technologies to shape and build a robust data platform. In this role, you will be at the forefront of data-driven decision-making, working with large datasets to drive business insights and growth. Your expertise in ETL, data modeling, and AWS services will be key in supporting the development of innovative solutions. This position offers an exciting opportunity to disrupt the data warehouse industry and make a significant impact within a dynamic team. If you are passionate about data and thrive in a collaborative environment, this is the perfect role for you.

Qualifications

• 3+ years of data engineering experience with a focus on ETL and data modeling.
• Expertise in designing and managing large datasets across various platforms.

Responsibilities

• Support the development and management of AWS services including data lakes.
• Design and implement scalable solutions to manage vast datasets.

Skills

Data Engineering

ETL Pipelines

Data Modeling

Business Intelligence

Communication Skills

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

Job description

Data Engineer, Amazon Web Services, AWS Data Platform

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting.

Amazon Web Services is seeking a Data Engineer to join the AWS Data Lake team. Amazon.com has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.

The AWS Data Platform team's mission is to help customers to see and understand their use of the AWS Cloud. We collect and process billions of usage transactions every day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and serve our external customers.

We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by leveraging relational database technologies like Redshift along with emerging Big Data technologies like Elastic Map Reduce (EMR) to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. The successful candidate will shape and build AWS' data lake and supporting systems for years to come.

You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and communication skills to work with business owners to understand data requirements and to build ETL to ingest the data into the data lake. You should be an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake. Above all, be passionate about working with vast data sets and someone who loves to bring datasets together to answer business questions and drive growth.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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