Data Engineer II

Amazon; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Amazon is seeking a Data Engineer I to enhance its data infrastructure, ensuring data quality and timely insights for operational excellence. Candidates should possess a Master's degree and a strong background in data engineering with proficiency in SQL and distributed systems. This role involves collaborating with diverse teams to drive impactful data solutions.

Qualifications

• 3+ years of data engineering experience required.
• Familiarity with ETL process and data warehousing essential.
• Experience and knowledge of big data technologies preferred.

Responsibilities

• Develop and maintain data pipelines for business insights.
• Build and optimize physical data models.
• Ensure data quality and compliance with policies.

Skills

SQL

Data management

Data modeling

Distributed systems

Problem-solving

Analytical skills

Education

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

Hadoop

Spark

Job description

Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online. We set big goals and are looking for people who can help us reach and exceed them. The CPT Data Engineering & Analytics (DEA) team builds and maintains critical data infrastructure that enhances seller experience and protects the privacy of Amazon business partners throughout their lifecycle. We are looking for a strong Data Engineer to join our team.
The Data Engineer I will work with well-defined requirements to develop and maintain data pipelines that help internal teams gather required insights for business decisions timely and accurately. You will collaborate with a team of Data Scientists, Business Analysts and other Engineers to build solutions that reduce investigation defects and assess the health of our Operations business while ensuring data quality and regulatory compliance.
The ideal candidate must be passionate about building reliable data infrastructure, detail-oriented, and driven to help protect Amazon's customers and business partners. They will be an individual contributor who works effectively with guidance from senior team members to successfully implement data solutions. The candidate must be proficient in SQL and at least one scripting language (e.g. Python, Perl, Scala), with strong understanding of data management fundamentals and distributed systems concepts

Key job responsibilities
- Build and optimize physical data models and data pipelines for simple datasets
- Write secure, stable, testable, maintainable code with minimal defects
- Troubleshoot existing datasets and maintain data quality
- Participate in team design, scoping, and prioritization discussions
- Document solutions to ensure ease of use and maintainability
- Handle data in accordance with Amazon policies and security requirements

BASIC QUALIFICATIONS

- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 3+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems concepts from data storage and compute perspective
- Ability to work effectively in a team environment

PREFERRED QUALIFICATIONS

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Familiarity with big data technologies (Hadoop, Spark, etc.)
- Knowledge of data security and privacy best practices
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills

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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.