Deutsche Bank

Google Cloud Platform Data Engineer

Deutsche Bank
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 6 yearsMin. 6 years

Job Description

GCP Data & AI Engineer, AS

Job Description:

Job Title: GCP Data & AI Engineer, AS

Location: Pune, India

Role Description:

This is a hybrid GCP Data and AI Engineer role focused on the end-to-end development of modern data and artificial intelligence solutions. You will design and build robust data integration pipelines, ensure data quality, and leverage that data for advanced analytics. A key focus of this role is operationalizing generative AI use cases, including building and deploying RAG pipelines and agentic workflows. The position also includes L3 support responsibilities for the implemented solutions.

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:

Core Data Engineering:

  • Design, develop, and maintain scalable data pipelines using Python, SQL, and core GCP services.

  • Develop and optimize complex SQL queries for data analysis, extraction, and transformation in BigQuery.

  • Manage and orchestrate batch data jobs efficiently using Cloud Composer.

  • Build and maintain streaming data pipelines using services like Pub/Sub (or Kafka).

  • Develop and deploy cloud infrastructure and services using Terraform.

  • Automate ETL testing procedures using Python and SQL.

AI & Application Development:

  • Design, build, and operationalize AI applications and RAG pipelines on GCP.

  • Leverage the Vertex AI platform to train, fine-tune, and deploy machine learning and generative AI models.

  • Design and implement agentic workflows to automate complex business processes.

  • Develop, consume, and host REST APIs using Python, deploying them as containerized applications on Cloud Run.

  • Implement and manage CI/CD pipelines using GitHub Actions to ensure smooth and reliable deployment of data and AI applications.

Operational Excellence & Collaboration:

  • Monitor and troubleshoot data and AI pipelines, resolving L3 support issues in a timely manner.

  • Collaborate effectively within an agile team using Jira and Confluence.

  • Embrace a culture of continuous learning, accepting failures as opportunities to learn and innovate.

  • Strategize and implement novel approaches for robust and scalable system design.

Your skills and experience

Mandatory Skills:

  • 6-10 years of IT experience as a hands-on technologist.

  • Core Languages: Proficient in Python and advanced SQL, with experience in query optimization.

  • Cloud Platform: Strong hands-on experience with GCP (Google Cloud Platform). Experience with Azure or AWS is also valuable.

  • Core GCP Services: Proven expertise with Big QueryCloud Composer (or Apache Airflow), and Cloud Run.

  • Infrastructure as Code: Proficient in Terraform.

  • CI/CD: Experienced in building CI/CD pipelines using GitHub Actions.

Desired Skills & Practical Experience: For the following areas, we are looking for candidates with demonstrable, hands-on experience in applying these technologies to solve practical problems.

  • GCP AI/ML Platform: Hands-on experience with the Vertex AI platform (using its Model Garden, training custom models, or deploying endpoints).

  • Generative AI: Practical experience building and deploying RAG (Retrieval-Augmented Generation) pipelines. A strong understanding of LLMs (like Gemini) and embedding models is crucial.

  • Agentic AI: Familiarity with designing or building agentic workflows and multi-agent systems. Awareness of emerging frameworks like the Google ADK.

  • GCP Data Services: Experience with Dataflow, Cloud Functions. Knowledge of Google Kubernetes Engine (GKE) is a plus.

  • API Management: Experience with Apigee.

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.

Experience Level

Senior Level

Job role

Work location
Work locationPune - Margarpatta, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryDBA / Data warehousing
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 6 years

About company

Name
NameDeutsche Bank
Job posted by Deutsche Bank

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You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

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