JOB SUMMARY:

We are looking for a Data Engineer Python & AI to join our team for an analytics and reporting transformation project for a global client. The client has an in-house analytics platform, DataBridge, used by business and senior management teams for dashboards, KPIs,

and business insights. The ecosystem includes Oracle/CES as the operational source, data pipelines, PostgreSQL reporting tables, Azure SQL for UK/EMEA data, and Tableau for BI

and visualization. The role will involve analyzing the existing data and reporting ecosystem, improving Tableau dashboards, working with data pipelines and databases, and supporting

AI-driven analytics capabilities using Python.

Key Responsibilities:

Data Engineering & Analytics

- Analyze and understand existing data pipelines, ETL/ELT processes, data models, and reporting datasets.
- Work with Oracle, PostgreSQL, Azure SQL, and other data sources.
- Trace data from source systems through the data pipeline to Tableau/DataBridge.
- Write and optimize complex SQL queries for reporting and data validation.
- Investigate data quality, reconciliation, transformation, and refresh issues.
- Support data modeling and reporting-layer improvements.

Tableau & Data Visualization

- Analyze and enhance existing Tableau workbooks, dashboards, worksheets, calculated fields, parameters, filters, and data sources.
- Develop interactive and executive-level Tableau dashboards.
- Translate business requirements and KPIs into effective visualizations.
- Validate dashboard results against underlying data.
- Optimize Tableau dashboards for performance, usability, and clarity.
- Identify and address inconsistent or duplicate KPI definitions.

AI & Python

- Develop and support AI/analytics capabilities using Python.




- Use Python for data analysis, automation, data processing, and AI/ML-related use cases.
- Work with APIs, Python libraries, and AI/ML frameworks where required.
- Support the development of AI-powered natural-language analytics and data-query capabilities.
- Help connect AI capabilities with existing data/reporting platforms.
- Understand concepts such as LLMs, prompt engineering, RAG, AI agents, and natural-language-to-SQL.
- Ensure AI-generated insights and data responses are based on reliable and validated business data.

Business & Stakeholder Collaboration

- Work closely with Business Analysts, client stakeholders, data teams, and technical teams.
- Understand business requirements, KPIs, and decision-making needs.
- Translate business questions into data and visualization solutions.
- Participate in discovery sessions, requirement discussions, and solution discussions.
- Clearly explain technical concepts, data findings, and proposed solutions to both technical and non-technical stakeholders.

Documentation

- Document data flows, KPI definitions, data lineage, dashboards, and reporting logic.
- Maintain documentation for Tableau workbooks, data sources, calculations, and AI/data solutions.
- Support preparation of technical and functional documentation.

Must-Have Skills

- 4+ years of hands-on experience
- Python AI
- Experience with REST APIs




- Experience with OpenAI/LLM APIs or similar AI platforms
- Strong SQL skills
- Experience with Oracle, PostgreSQL, and/or Azure SQL
- Strong understanding of ETL/ELT and data pipelines
- Experience with data modeling, data validation, and reconciliation
- Strong Tableau skills including:

- Calculated Fields

- LOD Expressions

- Parameters

- Filters

- Dashboard Actions

- Extracts / Live Connections

- Strong Python programming skills
- Practical understanding of AI/ML development using Python
- Understanding of LLMs, Generative AI, RAG, AI Agents, or Natural Language to SQL
- Ability to trace KPI Tableau calculation database table/view source data
- Experience working with existing BI/reporting environments
- Excellent verbal and written communication skills
- Ability to communicate effectively with business stakeholders and technical teams

Good to Have

- Databricks experience
- Tableau Server / Tableau Cloud
- Python/PySpark
- Experience building AI-powered analytics or conversational data applications
- Experience with cloud platforms such as Azure, AWS, or GCP
- Experience in analytics modernization / BI transformation projects

Ideal Candidate

We are looking for someone who can work across:

Data Engineering SQL/Data Pipelines Data & KPI Validation Tableau Python AI/Analytics

The ideal candidate should be able to investigate an existing reporting workplace, understand where numbers come from, validate KPI logic, build effective Tableau dashboards, and contribute to AI-powered analytics solutions using Python. Strong communication, analytical thinking, problem-solving, and stakeholder

management skills are essential for this role.

📌 Data Engineer Python & AI (Delhi)
🏢 Webuters
📍 Delhi