Data Engineer I, EU AMXL BIT

Amazon Inc.; Leeds; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Amazon Extra Large (AMXL) is seeking a data engineer who is customer focused, analytical and technically skilled to drive performance measurement, innovation and execution. You will design and operate data platforms and ETL components using Python, SQL and AWS services to deliver scalable insights for AMXL teams.

You will collaborate with program managers, engineers, analysts and business partners to build end-to-end data pipelines, models and dashboards, maintain data quality, and automate

Qualifications

• Experience in data engineering.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages such as SQL, PL/SQL, DDL, HiveQL, SparkSQL or Scala.
• Experience with one or more scripting languages such as Python.

Responsibilities

• Ingest data from multiple partners and create scalable data solutions.
• Design, develop and operate data pipelines and platforms.
• Collaborate with cross-functional teams to deliver data products.
• Improve data tooling, processes and scalability for the organization.
• Maintain data quality and build dashboards/reports for customers.
• Automate deployments and manage AWS-based data services.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

Python

Tools

AWS services

Redshift

S3

Glue

Job description

Amazon Extra Large (AMXL) is looking for a customer focused, analytically and technically skilled Data Engineer to drive effective performance measurement and management, innovation and execution.

As a Data engineer on this team, you will have the exciting opportunity to contribute to one of the few E2E Organizations within Amazon. You will collaborate closely with program managers, engineers, analysts, and business teams to design and implement solutions tailored to their needs, requiring creativity and strong problem-solving skills. You will play a key role in developing data engineering roadmaps aimed at building platforms to address complex challenges in efficient and scalable ways. In this role, you will leverage your analytical skills to work backwards from customer problems and design solutions that meet their objectives.

Additionally, you will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will design and implement complex data models and build the end-to-end infrastructure for reports and dashboards to be created by our customers. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.

Key job responsibilities

• Work with external data partners to establish AMXL connections to ingest various datasets
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using different AWS products such as Lambda, Glue, EMR, Kinesis Firehose
• Maintain and enhance existing data pipelines
• Create extensible designs and easy to maintain solutions with the long term vision in mind
• Interface with cross functional teams, gathering requirements and delivering data solutions
• Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needs

Basic Qualifications

• Experience in data engineering
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.