BI Engineering Solution Developer

EXL; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

EXL in Gurgaon, Haryana, seeks a hands-on BI Engineering Solution Developer to modernize BI pipelines using Python, SQL, and Tableau-based reporting. This 80% hands-on role focuses on development, automation, and data transformation, with 20% involvement in solution design and architecture discussions.

The ideal candidate has 5+ years in BI/Data Engineering, strong SDLC/Agile experience, and a track record building scalable ETL/ELT pipelines and reporting data models; familiarity with Medallion

Qualifications

• 5+ years in BI Engineering or related analytics roles.
• Strong Python and SQL proficiency.
• Experience with ETL/ELT and data modeling.
• Familiarity with Tableau architecture and REST APIs.
• Knowledge of Medallion Architecture concepts.

Responsibilities

• Modernize and automate BI pipelines using Python, SQL, and enterprise SDLC practices.
• Support Tableau-based reporting solutions and dashboards.
• Collaborate with Data Engineering to design scalable data models and reporting frameworks.
• Develop ETL/ELT frameworks and data transformation layers.
• Use Tableau REST APIs for admin, monitoring, and deployment.
• Troubleshoot data flow issues and performance.
• Participate in design reviews and CI/CD improvements.

Skills

Python

SQL

Git/GitHub

ETL/ELT pipelines

SDLC/Agile

Tableau

Medallion Architecture

Tools

Tableau

Elastic Search

Kafka

Linux

Job description

Job Title: BI Engineering Solution Developer

Position Summary

We are seeking a highly motivated BI Engineering Solution Developer with strong hands-on experience in Python, SQL, BI Engineering, and modern data pipelines. The ideal candidate will play a key role in modernizing and automating our Business Intelligence ecosystem, supporting Tableau-based reporting solutions, and collaborating with Data Engineering and BI teams to design scalable reporting architectures.

This is a hands-on technical role (80%) focused on development, automation, and data transformation, with 20% involvement in solution design, architecture discussions, and collaboration with BI developers and Data Engineering leads.

Key Responsibilities

• Modernize and automate existing BI pipelines using Python, SQL, and enterprise SDLC practices.
• Leverage and enhance GitHub repositories to support CI/CD-driven BI development and deployment.
• Develop and maintain data transformation layers supporting reporting and analytics requirements.
• Design, develop, and support scalable ETL/ELT frameworks and reporting data models.
• Collaborate with BI developers and Data Engineering teams to define optimal table structures and reporting frameworks.
• Work with Tableau REST APIs to automate administration, monitoring, and deployment activities.
• Support Tableau reporting solutions and troubleshoot data flow issues.
• Understand and contribute to data movement across the Medallion Architecture (Bronze, Silver, Gold layers).
• Execute and maintain Python-based ETL frameworks and Linux-based automation scripts.
• Participate in solution discussions, design reviews, and technical brainstorming sessions.
• Support production issues, performance tuning, and continuous improvement initiatives.

Required Qualifications

• 5+ years of experience in BI Engineering, Data Engineering, or related analytics development roles.
• Strong proficiency in:
• Python
• SQL
• Git/GitHub
• Experience developing and supporting ETL/ELT pipelines.
• Strong understanding of Software Development Life Cycle (SDLC) and Agile delivery practices.
• Experience with data modeling and designing reporting-ready datasets.
• Familiarity with Tableau architecture, reporting environment, and Tableau REST APIs.
• Understanding of modern data platforms and Medallion Architecture concepts.
• Experience executing and troubleshooting Python-based ETL frameworks.

Preferred Qualifications

• Experience supporting enterprise BI platforms and reporting ecosystems.
• Familiarity with cloud-based data platforms and modern analytics architectures.
• Exposure to monitoring and observability practices.
• Knowledge of Elastic Search and ES|QL (Elastic Search Query Language).
• Knowledge of Kafka streaming is a plus.
• Experience working in Banking, Financial Services, or large-scale enterprise environments.