AWS Data Engineer

Location

 

Whilst you may have any of our UK offices as a base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home during the week at short notice. Capgemini requires our employees to be geographically mobile and to be able to travel to customer site to perform our jobs.

Who you’ll be working with

 

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.

We continue to grow and are looking for talented individuals who want to join our high performing team. If you would like to develop your career as part of a team of highly skilled professionals who are passionate about increasing the value of the data and analytics in organisations you have come to the right place.
 

The focus of your role

 

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

•    Design and build data engineering solutions and support the planning and implementation of data platform services including sizing, configuration, and needs assessment

•    Build relationships with client stakeholders to establish a high-level of rapport and confidence

•    Work with clients, local teams and offshore resources to deliver modern data products 

•    Work effectively on client sites, Capgemini offices and from home

•    Use AWS Data focused Reference Architecture 

•    Design and build data service APIs 

•    Analyze current business practices, processes and procedures and identify future opportunities for leveraging AWS services

•    Implement effective metrics and monitoring processes

 

Skills needed

 

•    Have a deep, hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements
•    Experience of AWS tools (e.g Athena, Redshift, Glue, EMR)
•    Java, Scala, Python, Spark, SQL
•    Experience of developing enterprise grade ETL/ELT data pipelines.
•    Deep understanding of data manipulation/wrangling techniques
•    Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).
•    Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion.
•    NoSQL Databases.  Dynamo DB/Neo4j/Elastic, Google Cloud Datastore.
•    Snowflake Data Warehouse/Platform
•    Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming.
•    Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc
•    Experience building and deploying solutions to Cloud (AWS, Google Cloud) including Cloud provisioning tools 
•    Have hands on experience with Infrastructure-as-Code technologies: Terraform, Ansible
•    Capable of working in either an agile or Waterfall development environment, both as part of a team and individually
•    E2E Solution Design skills – Prototyping, Usability testing 
•    Experience with SQL and NoSQL modern data stores.
•    Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
•    Ability to translate business requirements into plausible technical solutions for articulation to other development staff.
•    Good understanding of Data Governance, including Master Data Management (MDM) and Data Quality tools and processes
•    Influencing and supporting project delivery through involvement in project/sprint planning and QA
 

Nice to have

 

•    Knowledge of other cloud platforms

•    Google Data Products tools knowledge (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.) Relevant certifications

•    Python

•    Snowflake

•    Databricks   

What we’ll offer you

 

Professional development. Accelerated career progression. An environment that encourages entrepreneurial spirit. It’s all on offer at Capgemini. And although collaboration is at the core of the way we work, we also recognise individual needs with a flexible benefits package you can tailor to suit you.

Why we’re different

 

At Capgemini, we help organisations across the world become more agile, more competitive and more successful. Smart, tailored, often-groundbreaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality.  These dimensions contribute to the type of diversity we value the most: diversity of thought.
 

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

 

Discover more about what Capgemini can offer you. Visit:
https://twitter.com/Capgemini and https://www.glassdoor.co.uk/Reviews/Capgemini-Reviews-E3803.htm
 

Ref:

907902

Posted on:

August 3, 2021

Experience level:

Experienced Professional

Contract type:

Permanent Full Time

Location:

Any UK Base

Department:

Big Data & Analytics