GCP Data Engineer, AS

Overview

• An Engineer is responsible for designing and developing entire engineering solutions to accomplish business goals.
• Key responsibilities of this role include ensuring that solutions are well architected, with maintainability and ease of testing built in from the outset, and that they can be integrated successfully into the end-to-end business process flow. They will have gained significant experience through multiple implementations and have begun to develop both depth and breadth in several engineering competencies.
• They have extensive knowledge of design and architectural patterns.
• They will provide engineering thought leadership within their teams and will play a role in mentoring and coaching of less experienced engineers.
  
  
  

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
  
  
  

• Design, develop and maintain data pipelines using Python and SQL programming language on GCP.
• Experience in Agile methodologies, ETL, ELT, Data movement and Data processing skills.
• Work with Cloud Composer to manage and process batch data jobs efficiently.
• Develop and optimize complex SQL queries for data analysis, extraction, and transformation.
• Develop and deploy google cloud services using Terraform.
• Implement CI CD pipeline using GitHub Action
• Consume and Hosting REST API using Python.
• Monitor and troubleshoot data pipelines, resolving any issues in a timely manner.
• Ensure team collaboration using Jira, Confluence, and other tools.
• Ability to quickly learn new any existing technologies Strong problem-solving skills.
• Write advanced SQL and Python scripts.
• Certification on Professional Google Cloud Data engineer will be an added advantage.
  
  
  

• 6+ years of IT experience, as a hands-on technologist.
• Proficient in Python for data engineering.
• Proficient in SQL.
• Hands on experience on GCP Cloud Composer, Data Flow, Big Query, Cloud Function, Cloud Run and well to have GKE
• Hands on experience in REST API hosting and consumptions.
• Proficient in Terraform/ Hashicorp.
• Experienced in GitHub and Git Actions
• Experienced in CI-CD
• Experience in automating ETL testing using python and SQL.
• Good to have APIGEE.
• Good to have Bit Bucket
  
  
  

• 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.
  
  
  

Please visit our company website for further information:

https://www.db.com/company/company.htm

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.