Senior Tableau Developer and Oracle with AI
AI in this role
Job Description:
Job Title: Senior BI Developer (BI Primary)
Corporate Title: Vice President
Location: Pune, India
Role Description
We are looking for a Senior BI Developer (10–12 years) with primary expertise in Tableau / BI and secondary strength in Oracle database development.
The ideal candidate will specialize in building enterprise-scale BI solutions, crafting high-impact dashboards, and enabling data-driven decision-making. The role requires strong skills in data integration, reporting, and performance optimization, along with the ability to understand data lineage and troubleshoot across systems.
Hands-on exposure to AI-assisted development (Copilot, LLMs, agents, RAG) is mandatory to drive productivity and engineering innovation.
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
Data Engineering & Integration
Develop and maintain end-to-end data pipelines across multiple data sources
Work across ETL/ELT ecosystems ensuring data consistency and reliability
Perform data analysis, debugging, and RCA across upstream/downstream systems
Understand and document data lineage across complex landscapes
Your skills and experience
BI/Tableau Skills
10–12 years of experience in Business Intelligence Solutions & Development.
Design, develop, and maintain enterprise-grade Tableau dashboards for executive reporting and analytics storytelling
Build advanced dashboards with high interactivity and performance
Implement:
LOD expressions, parameters, sets, advanced calculated fields
Action filters, highlight actions, navigation & URL actions
Design Tableau data models and semantic layers
Optimize dashboards using Tableau performance recording and query tuning techniques
Integrate Tableau with:
External systems using REST / Metadata / Embedding APIs
TabPy for advanced analytics and AI/ML use cases
Develop and deploy Python-based models integrated into Tableau dashboards
Build reusable frameworks, extensions, and embed dashboards into portals/applications
Handle large-scale datasets (millions to billions of rows) efficiently
Manage:
Live vs Extract strategy
Data blending, joins, and custom SQL
Support API-driven and near real-time dashboards
Manage Tableau Server/Cloud operations, scheduling, and report automation
Oracle/Database Skills
Develop and maintain Oracle SQL & PL/SQL components (procedures, functions)
Write efficient SQL queries and support performance optimization
Work with:
Indexing and basic partitioning concepts
Materialized views and refresh mechanisms
Handle large datasets and support batch execution workflows
Collaborate on job scheduling (Control-M / DB scheduler integration)
Support debugging and issue resolution across database layers
AI & Modern Development (Mandatory)
Hands-on experience with:
GitHub Copilot / AI code assistants
AI agents, tools, and orchestration frameworks
Working knowledge of:
LLMs (Large Language Models)
RAG (Retrieval-Augmented Generation)
MCP / tool integration patterns
Ability to apply AI for:
Code generation & optimization
Debugging and root cause analysis
Improving developer productivity
Engineering & DevOps Practices
Strong understanding of:
CI/CD pipelines (Jenkins/GitHub Actions)
Version control and advanced branching strategies
Focus on:
Observability and system supportability
Secure coding practices and vulnerability remediation
Soft Skills
Strong problem-solving and analytical mindset
Excellent communication and stakeholder management skills
Ability to present solutions to both technical and business audiences
High ownership, independence, and commitment to quality
Collaborative mindset and respect for diverse perspectives
Preferred Qualifications
Experience in Investment Banking domain
Knowledge of Credit Risk and regulatory reporting
Familiarity with:
Cloud platforms (GCP/AWS/Azure)
Monitoring tools (Grafana, ELK, Splunk)
Exposure to modern data architectures and real-time pipelines
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
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.
How we score this
Senior Tableau Developer and Oracle with AI at Deutsche Bank scores 49 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of Copilot that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Rag, AI Agents, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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