BI Engineering Solution Developer

Role: BI Engineering Solution Developer

Expirence: 8+ Years

Mode:Hybrid( 3 days WFO)

Shift- 1 PM to 10 PM

Location : ALL EXL Location

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.

1. Leverage and enhance GitHub repositories to support CI/CD-driven BI development and deployment.
2. Develop and maintain data transformation layers supporting reporting and analytics requirements.
3. Design, develop, and support scalable ETL/ELT frameworks and reporting data models.
4. Collaborate with BI developers and Data Engineering teams to define optimal table structures and reporting frameworks.
5. Work with Tableau REST APIs to automate administration, monitoring, and deployment activities.
6. Support Tableau reporting solutions and troubleshoot data flow issues.
7. Understand and contribute to data movement across the Medallion Architecture (Bronze, Silver, Gold layers).
8. Execute and maintain Python-based ETL frameworks and Linux-based automation scripts.
9. Participate in solution discussions, design reviews, and technical brainstorming sessions.
10. 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.

1. Strong proficiency in:
• Python
1. SQL
2. Git/GitHub
3. Linux scripting (Shell/Bash)
2. Experience developing and supporting ETL/ELT pipelines.
3. Strong understanding of Software Development Life Cycle (SDLC) and Agile delivery practices.
4. Experience with data modeling and designing reporting-ready datasets.
5. Familiarity with Tableau architecture, reporting environment, and Tableau REST APIs.
6. Understanding of modern data platforms and Medallion Architecture concepts.
7. Experience executing and troubleshooting Python-based ETL frameworks.

Preferred Qualifications

• Experience supporting enterprise BI platforms and reporting ecosystems.

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

Key Responsibilities

• Modernize and automate existing BI pipelines using Python, SQL, and enterprise SDLC practices.

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

Qualifications for Internal Candidates

• 5+ years of experience in BI Engineering, Data Engineering, or related analytics development roles.

1. Strong proficiency in:
• Python
1. SQL
2. Git/GitHub
3. Linux scripting (Shell/Bash)