AWS Data Engineer - London

Capgemini
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Java
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Cloud Computing
Computer Programming
Databases
Continuous Integration
Information Engineering
ETL
Data Systems
Data Warehousing
DevOps
Amazon DynamoDB
Hadoop
Python
Open Source Technology
Scala
Unstructured Data
Data Storage Technologies
AWS Lambda
SC Clearance
Amazon Web Services (AWS)
Data Lake
Amazon Web Services (AWS)
Cloudwatch
Data Pipelines
Amazon Web Services (AWS)
Redshift
Programming Languages

Job description

We are looking for strong AWS Data Engineers who are passionate about Cloud technology. Your work will be to:

  • Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.
  • Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools.
  • Adopt DevOps Practices: Utilize DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes.
  • Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making., You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Requirements

  • Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.
  • Programming Skills: Strong experience with modern programming languages such as Python, Java, and Scala.
  • Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.
  • Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.

We are a Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

-Declare they have a disability, and, To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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