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Join Deutsche Bank in Pune as a GCP Data Engineer, leading data pipeline development and AI workloads on GCP.
Enjoy flexible benefits, career growth, and a culture of continuous learning in a dynamic tech environment.
Position Overview
GCP Data Engineer, AS Job ID: Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2026-02-20 Location: Pune Position Overview Job Title: GCP Data Engineer, AS 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
Legal Notice
We welcome applications from all people and promote a positive, fair and inclusive work environment.