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GCP Data Engineer, AS
full-timeIndia

Summary

Location

India

Type

full-time

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About this role

Job Description:

Job Title: GCP Data Engineer

Location: Pune, India

Role Description

It’s a GCP Data Engineer role, performing end to end development of integrations, data preparation/synthesization/transformation, data quality, data storage workloads, along with usage of the prepared data for advanced data analytics (may include some of the AI use cases). It encompasses the L3 support activities as well for the implemented workloads.

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

  • Design, develop and maintain data pipelines using Python and SQL programming language on GCP.
  • Expertise on API development and integration
  • Experience on writing SQL queries and optimizing it.
  • Strong programming skills with Python.
  • Experience with GCP Composer or Apache airflow.
  • Hands-on experience on streaming data pipelines.
  • Worked on near real-time services like Pub Sub/Kafka.
  • Proven experience on app development and hosting over cloud platform with help of Docker (preferably GCP, cloud run).
  • A willingness to accept failures, learn and try again.
  • 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.
  • Consume and Hosting REST API using Python.
  • Build and deploy AI and RAG pipelines
  • Design, build and deploy agentic workflows
  • Operationalize AI applications
  • Knowledge of RAG, vector database, multi-agent system, agentic framework – ADK along with a2a protocol and agent cards
  • Experienced in Vertex AI platform
  • Implement CI CD pipeline using GitHub Action
  • 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.
  • Strategize novel approaches for designing, implementing, deploying robust and scalable ai systems
  • Certification on Professional Google Cloud Data engineer will be an added advantage.

Your skills and experience

  • 6-10 years of IT experience, as a hands-on technologist.
  • Proficient in Python
  • Proficient in SQL.
  • Hands on experience on GCP Cloud Composer, Data Flow, Big Query, Cloud Function, Cloud Run, Google ADK and good to have GKE  
  • Hands on experience in building and managing AI workloads and 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
  • Understanding of LLM(Gemini) and embedding models
  • Experienced in prompt engineering

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

About us and our teams

Please visit our company website for further information:

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

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.

Other facts

Tech stack
Python,SQL,GCP Composer,Data Flow,Big Query,Cloud Function,Cloud Run,Google ADK,Terraform,GitHub,CI-CD,ETL,AI Workloads,REST API,Agile,Prompt Engineering

About Deutsche Bank

Deutsche Bank is the leading German bank with strong European roots and a global network. The bank focuses on its strengths in a Corporate Bank newly created in 2019, a leading Private Bank, a focused investment bank and in asset management.

We provide financial services to companies, governments, institutional investors, small and medium-sized businesses and private individuals.

Deutsche Bank was founded in 1870 to accompany German businesses into the world, and has worked across borders ever since.

Useful links:
Jobs https://www.db.com/careers.
Netiquette at https://www.db.com/netiquette.
Data protection policy https://www.db.com/DataProtection.
Imprint https://www.db.com/imprint.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Financial Services
Founding Year: 1870

What you'll do

  • The role involves designing, developing, and maintaining data pipelines using Python and SQL on GCP, as well as managing batch data jobs with Cloud Composer. It also includes operationalizing AI applications and troubleshooting data pipelines.

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Frequently Asked Questions

What does a GCP Data Engineer, AS do at Deutsche Bank?

As a GCP Data Engineer, AS at Deutsche Bank, you will: the role involves designing, developing, and maintaining data pipelines using Python and SQL on GCP, as well as managing batch data jobs with Cloud Composer. It also includes operationalizing AI applications and troubleshooting data pipelines..

Why join Deutsche Bank as a GCP Data Engineer, AS?

Deutsche Bank is a leading Financial Services company.

Is the GCP Data Engineer, AS position at Deutsche Bank remote?

The GCP Data Engineer, AS position at Deutsche Bank is based in India, India. Contact the company through Clera for specific work arrangement details.

How do I apply for the GCP Data Engineer, AS position at Deutsche Bank?

You can apply for the GCP Data Engineer, AS position at Deutsche Bank directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Deutsche Bank on their website.