GCP Data Engineer, AVP

Position Overview

Job Title: GCP Data Engineer, AVP

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

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:

We strive for a 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.

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