Data Engineer II, IN-CoBRA

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

Job summary

An established industry player is seeking a passionate Data Engineer to join their dynamic analytics team. This role offers the opportunity to design and implement robust data pipelines and ETL processes, ensuring data quality and compliance. The ideal candidate will have over five years of experience in data engineering, with a strong command of SQL and proficiency in modern programming languages like Python or Java. You will work with cutting-edge AWS technologies, contributing to impactful data-driven solutions in a collaborative environment. If you're excited about working with massive data volumes and driving best practices in data engineering, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in data engineering with a focus on ETL processes.
• Proficient in SQL and at least one programming language such as Python or Java.

Responsibilities

• Design and implement data pipelines and ETL processes for large datasets.
• Collaborate with teams to create scalable data models and ensure data quality.

Skills

Data Engineering

SQL

Python

Java

ETL Processes

Data Modeling

Distributed Systems

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

Job description

Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions at scale? If yes, this opportunity will appeal to you.

We are actively seeking a talented Data Engineer to join our dynamic reporting and analytics team. We are looking for a highly motivated individual who is passionate about data, demonstrates strong autonomy, and has deep expertise in the design, creation, and management of large and complex data pipelines.

Key job responsibilities

1. Design and implement data pipelines and ETL processes
2. Create scalable data models and data architectures
3. Drive best practices for data engineering, testing, and documentation
4. Ensure data quality, consistency, and compliance standards are met
5. Collaborate with cross-functional teams on data-driven solutions
6. Contribute to technical strategy and architectural decisions

BASIC QUALIFICATIONS

1. 5+ years of data engineering experience
2. Experience with SQL
3. Experience with data modeling, warehousing, and building ETL pipelines
4. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
5. Knowledge of distributed systems as it pertains to data storage and computing

PREFERRED QUALIFICATIONS

1. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
2. Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
3. Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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