GCP Data Engineer

Our Digital Innovation & Transformation team is working with clients to lead them through the digital revolution. Realizing their digital innovation strategies and programmes is a key focus area. We are working with clients to help them set up their innovation labs and Centres of Excellence (CoE), gain value from innovation partnerships, develop proofs of concept and Minimum Viable Products (MVP) around new and emerging technologies, and implement digital solutions. Throughout this process, we serve as strategic advisors on how to apply innovation to domain-specific use cases for the financial services industry, with the business challenge always at the heart of the programme. We partner with our digital and technology teams to deliver solutions from future state vision and concept to large scale implementation.

What you will be doing:

As Lead GCP Data Engineer you will be responsible for delivering large-scale high-volume data enrichment through business configuration of data pipelines on Google Cloud Platform (GCP)

You will work within the Data Engineering team and with the Solution Architect and Product Owner.
You are expected to support existing data enrichment engines/tool/utilities including their enhancements as well as design and build new data enrichment engines/tool/utilities.
You will lead the design and build out of data pipelines incorporating the data enrichment engines
You will be part of an agile team, take on complex problems and solve them through intelligent design and scalable robust code.
Support issue resolution’ and improve processing performance on GCP including Big Query, Dataproc.
Ensure the use of Big Query SQL, Java and Spark reduces lead time to delivery and aligns to overall Group strategic direction so that cross-functional development is usable.
What you will bring to the role:

Expert understanding of and at least 5 years delivery experience using GCP; Dataproc, Dataflow, Big Query, Compute, Pub/Sub, Cloud Storage.
Expert knowledge of Industry Best Practice for ETL Design, Principles, Concepts.
Possess 5 + years’ experience with at least one of the following languages – Java or Scala
DevOps and Agile engineering practitioner with experience of test-driven development
Ability to work independently on specialized assignments within the context of project deliverables
Take ownership of providing solutions and tools that iteratively increase engineering efficiencies.
Design should help embed standard processes, systems and operational models into the BAU approach for end-to-end execution of Data Pipelines
Excellent communication skills & team player and collaborator
Team coaching and mentorship
Required Experience:

Google Cloud Platform; Dataproc, Dataflow, Spark SQL, Big Query SQL, Java
Desired Experience:

RESTful APIs, Git, Continuous Integration Continuous Deployment, Test Automation
My client is a leading Digital Transformation consulting firm focused on the financial services industry and is working to Accelerate Digital initiatives for banks, asset managers, and insurance companies around the world. We uniquely deliver these firms end-to-end Digital, Consulting and Technology capabilities with expertise in wholesale banking, wealth management and insurance as well as emerging technologies like Blockchain, AI, and Data Science.

We have 22 offices around the globe, with over 11,000 employees producing over $650M+ in annual revenue.

Diversity statement

We are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.