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Partner Data - Google Cloud Engineer
DWS Investment
posted 3mon ago
Job Role Insights
Key skills for the job
Job Description
- Planning and developing entire engineering solutions to accomplish business goals
- Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle
- Ensuring maintainability and reusability of engineering solutions
- Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow
- Reviewing engineering plans and quality to drive re-use and improve engineering capability
- Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank.
What we ll offer you
As part of our flexible scheme, here are just some of the benefits that you ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your key responsibilities
- You are responsible for the implementation of the new project on GCP (Spark , Dataproc , Dataflow , BigQuery , Terraform etc) in the whole SDLC chain
- You are responsible for the support of the migration of current functionalities to Google Cloud
- You are responsible for the stability of the application landscape and support software releases
- You also support in L3 topics and application governance
- You are responsible in the CTM area for coding as part of an agile team (Java, Scala, Spring Boot)
Your skills and experience
- You have experience with databases (HDFS, BigQuery, etc.) and development preferably for Big Data and GCP technologies
- Strong understanding of Data Mesh Approach and integration patterns
- Understanding of Party data and integration with Product data
- Your architectural skills for big data solutions, especially interface architecture allows a fast start
- You have experience in at least Spark, Java and Scala, Maven, Artifactory, Hadoop Ecosystem, Github Actions, GitHub, Terraform scripting
- You have knowledge in customer reference data, customer opening processes and preferably regulatory topics around know your customer processes
- You can work very well in teams but also independent and are constructive and target oriented
- Your English skills are good and you can both communicate professionally but also informally in small talks with the team
How we ll support you
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
Employment Type: Full Time, Permanent
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