AWS Data Engineer

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Manchester, Newcastle, Bristol, Birmingham, Woking, London# AWS Data Engineer The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.

We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP.Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)##
** Your role
** 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 Dev Ops Practices:
Utilize Dev Ops 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.##
** Your Skills and Experience
*** Proficiency with AWS Tools:
Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon Dynamo

DB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.
* Programming

Skills:

Strong experience with modern programming languages such as Python, Java, Scala & Pyspark.
* 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.

Capgemini is proud to be a 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-Meet the minimum essential criteria for the role.

Please opt in during the application process.
** Developed Vetting (DV)
** To be successfully appointed to this role, it is a requirement to obtain .  To obtain DV clearance, the successful applicant must have resided continuously within the United Kingdom for the last 10 years, along with other very detailed criteria and requirements.
Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.  Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

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…