Deutsche Bank Group

GCPData&AIEngineer,AS

Pune, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“GCP Data & AI Engineer, AS at Deutsche Bank Group. Skills: GCP, Data Engineering, AI, Python, SQL, BigQuery, Cloud Composer, Terraform, Vertex AI, RAG pipelines, Agentic workflows. 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”

Industry & Context.

Problems you'll solve

Troubleshoot data and AI pipelines; Resolving L3 support issues

What They're Looking For.

Must Have

6-10 years of IT experience as a hands-on technologist, Proficient in Python, Proficient in advanced SQL, Experience with query optimization, Hands-on experience with GCP (Google Cloud Platform), Proven expertise with Big Query, Proven expertise with Cloud Composer (or Apache Airflow), Proven expertise with Cloud Run, Proficient in Terraform, Experienced in building CI/CD pipelines using GitHub Actions

Nice to Have

Demonstrable, hands-on experience in applying Vertex AI to solve practical problems, Demonstrable, hands-on experience in applying RAG pipelines to solve practical problems, Demonstrable, hands-on experience in applying agentic workflows to solve practical problems, Demonstrable, hands-on experience in applying multi-agent systems to solve practical problems, Demonstrable, hands-on experience in applying Google ADK to solve practical problems, Experience with Azure, Experience with AWS, Experience with Dataflow, Experience with Cloud Functions, Experience with Apigee, Knowledge of Google Kubernetes Engine (GKE)

What You'll Do.

and maintain scalable data pipelines using Python

and core GCP services

Develop and optimize complex SQL queries for data analysis

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

and operationalize AI applications and RAG pipelines on GCP

Leverage the Vertex AI platform to train

and deploy machine learning and generative AI models

Design and implement agentic workflows to automate complex business processes

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

Monitor and troubleshoot data and AI pipelines

Resolving L3 support issues in a timely manner

How You'll Work.

Team & Collaboration

Collaborate effectively within an agile team using Jira and Confluence; Working collaboratively

Process & Methodology

Agile team

Full Job Description

## _**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 pro

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