📍 Job Overview

Job Title: Senior Software Engineer - Tableau Dashboard Developer with SQL Database
Company: Quest Global
Location: Bengaluru, Karnataka, India
Job Type: On-site, Full-time
Category: Data Visualization Engineer, Business Intelligence Developer
Date Posted: 2025-08-09
Experience Level: 2-5 years

🚀 Role Summary

Develop and maintain interactive Tableau dashboards to monitor project health, cost trends, and capacity planning across critical business areas.
Collaborate with project engineers to design and build dashboards that consolidate data from multiple sources, including SQL databases.
Translate complex data into clear, actionable insights for leadership teams to support decision-making.
Ensure accuracy, consistency, and integrity of dashboard content by validating against source systems.

📝 Enhancement Note: This role requires a strong blend of technical skills in data visualization, SQL databases, and project analytics, with a focus on engineering data and process improvement initiatives.

💻 Primary Responsibilities

Dashboard Development: Design and develop dashboards for visual management of engineering project performance and risk indicators, such as EAC Erosion Dashboard and LCV Risk Dashboard.
Data Consolidation: Collaborate with project engineers to build Tableau dashboards that consolidate data from multiple sources, including SQL databases, to support detailed engineering data studies and process improvement initiatives.
Data Validation: Ensure accuracy, consistency, and integrity of dashboard content by validating against source systems.
Insight Generation: Translate complex data into clear, actionable insights for leadership teams to support decision-making.
Process Improvement: Contribute to automation projects and lean initiatives in engineering and manufacturing contexts.

📝 Enhancement Note: This role involves a high degree of collaboration with cross-functional teams, requiring strong communication and project management skills to ensure data accuracy and timely delivery.

🎓 Skills & Qualifications

Education: Bachelor’s degree in engineering, preferably Mechanical Engineering.

Experience: Minimum of 2 years’ experience in engineering data analysis or project analytics.

Required Skills:

Tableau (mandatory)
SQL databases
Working knowledge of Excel and Python (optional advantage)
Strong analytical skills and attention to detail
Ability to interpret engineering and project data to support decision-making
Familiarity with plant engineering, industrial gas turbines, or design systems is a strong plus

Preferred Attributes:

Immediate joiners preferred
Strong communication and collaboration skills
Self-starter with the ability to work independently in a fast-paced environment
Prior experience supporting lean initiatives in engineering/manufacturing contexts

📝 Enhancement Note: While Tableau proficiency is mandatory, experience with other data visualization tools and familiarity with additional programming languages can be beneficial for career growth in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate proficiency in Tableau with examples of interactive dashboards showcasing data visualization, filtering, and sorting capabilities.
Include projects that highlight data consolidation from multiple sources, including SQL databases, and data validation processes.
Showcase your ability to translate complex data into actionable insights with clear and concise visualizations.
Highlight any experience with process improvement initiatives, automation projects, or lean initiatives in engineering/manufacturing contexts.

Technical Documentation:

Document data sources, data transformations, and data validation processes used in your Tableau dashboards.
Include any relevant code snippets or scripts used for data extraction, preparation, or automation.
Describe the methodology used to ensure data accuracy, consistency, and integrity in your dashboards.
Highlight any challenges faced during project implementation and how you overcame them.

📝 Enhancement Note: A well-structured portfolio with clear project descriptions, data sources, and visualizations will help demonstrate your technical skills and problem-solving abilities in this role.

💵 Compensation & Benefits

Salary Range: INR 8-12 LPA (Estimated based on industry standards for a Senior Software Engineer with 2-5 years of experience in Bengaluru, India)

Benefits:

Competitive salary and performance-based bonuses
Health, dental, and vision insurance
Retirement savings plans with company matching
Employee stock purchase plan
Paid time off and flexible work arrangements
Professional development opportunities, including training and certifications

Working Hours: 40 hours per week, with flexible scheduling to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: While salary and benefits vary based on individual performance and company policies, this role offers competitive compensation and comprehensive benefits packages for experienced professionals in the data visualization and business intelligence field.

🎯 Team & Company Context

🏢 Company Culture

Industry: Engineering and manufacturing services, with a focus on power generation, oil and gas, and heavy industries.

Company Size: Medium-sized organization with a global presence and a strong focus on innovation and technology.

Founded: 1997, with over two decades of experience in providing engineering services and solutions to clients worldwide.

Team Structure:

Collaborative, cross-functional teams consisting of project engineers, data analysts, and business intelligence specialists.
Flat organizational structure with a focus on agile project management and continuous improvement.
Strong emphasis on knowledge sharing, mentoring, and professional development.

Development Methodology:

Agile/Scrum methodologies for project management and sprint planning.
Code reviews, testing, and quality assurance practices to ensure data accuracy and dashboard functionality.
Deployment strategies, including automated deployment and server management, to maintain data integrity and performance.

Company Website: Quest Global

📝 Enhancement Note: Quest Global's culture emphasizes collaboration, innovation, and continuous learning, providing a supportive environment for professionals seeking to grow their skills in data visualization and business intelligence.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Software Engineer, with a focus on data visualization, business intelligence, and project analytics.

Reporting Structure: This role reports directly to the Engineering Manager or Business Intelligence Manager, depending on the specific team structure and project requirements.

Technical Impact: This role has a significant impact on data-driven decision-making, process improvement, and project performance across various business areas within the organization.

Growth Opportunities:

Technical Growth: Expand your skills in data visualization, business intelligence, and project analytics by working on diverse projects and collaborating with cross-functional teams.
Leadership Development: Develop your leadership skills by mentoring junior team members, driving process improvement initiatives, and contributing to strategic decision-making processes.
Architecture Decisions: Contribute to the development of data architecture and governance policies to ensure data accuracy, consistency, and integrity across the organization.

📝 Enhancement Note: This role offers significant growth potential for experienced professionals seeking to advance their careers in data visualization, business intelligence, and project analytics within a dynamic and collaborative work environment.

🌐 Work Environment

Office Type: Modern, collaborative office spaces designed to facilitate cross-functional teamwork and knowledge sharing.

Office Location(s): Bengaluru, Karnataka, India, with additional offices in North America, Europe, and Asia.

Workspace Context:

Collaborative Workspace: Open-plan offices with dedicated spaces for team meetings, brainstorming sessions, and training workshops.
Development Tools: Access to state-of-the-art hardware, software, and development tools to support data visualization, business intelligence, and project analytics projects.
Cross-Functional Collaboration: Regular interaction with project engineers, data analysts, and business stakeholders to ensure data accuracy, relevance, and actionability.

Work Schedule: Flexible work schedules to accommodate project deadlines, maintenance windows, and team collaboration requirements.

📝 Enhancement Note: Quest Global's work environment fosters collaboration, innovation, and continuous learning, providing a supportive and engaging workspace for professionals seeking to grow their skills in data visualization and business intelligence.

📄 Application & Technical Interview Process

Interview Process:

Technical Screening: A phone or video call to assess your Tableau, SQL, and data analysis skills, as well as your understanding of engineering data and project analytics.
Data Analysis Challenge: A hands-on data analysis challenge involving Tableau, SQL, and other relevant tools to evaluate your problem-solving skills and data visualization abilities.
On-site Interview: A visit to Quest Global's offices in Bengaluru for in-depth discussions about your experience, skills, and career goals, as well as a presentation of your portfolio and a case study.
Final Decision: A final decision based on your technical skills, cultural fit, and alignment with the company's values and goals.

Portfolio Review Tips:

Highlight your proficiency in Tableau with examples of interactive dashboards showcasing data visualization, filtering, and sorting capabilities.
Include projects that demonstrate your ability to consolidate data from multiple sources, including SQL databases, and validate data accuracy, consistency, and integrity.
Showcase your ability to translate complex data into actionable insights with clear and concise visualizations.
Emphasize any experience with process improvement initiatives, automation projects, or lean initiatives in engineering/manufacturing contexts.

Technical Challenge Preparation:

Brush up on your Tableau, SQL, and data analysis skills, focusing on engineering data and project analytics.
Familiarize yourself with Quest Global's industry, business, and data visualization best practices.
Prepare for case studies and problem-solving exercises that focus on data visualization, data consolidation, and data validation processes.

ATS Keywords: Tableau, SQL, Data Analysis, Project Analytics, Data Visualization, Dashboarding, Engineering Data, Process Improvement, Automation, Lean Initiatives, Collaboration, Communication, Problem-Solving, Decision-Making, Data-Driven Insights, Business Intelligence, Data Governance, Data Architecture.

📝 Enhancement Note: Quest Global's interview process emphasizes technical skills, problem-solving abilities, and cultural fit, providing an opportunity for experienced professionals to demonstrate their expertise in data visualization, business intelligence, and project analytics.

🛠 Technology Stack & Web Infrastructure

Data Visualization Tools:

Tableau (mandatory)
Power BI (optional)
QlikView (optional)

Database Technologies:

SQL Server
MySQL
Oracle
PostgreSQL

Data Analysis & Automation Tools:

Excel
Python (optional)
R (optional)
Power Automate (optional)

Collaboration & Project Management Tools:

Microsoft Office Suite (Word, Excel, PowerPoint)
Microsoft Teams
Jira
Confluence

📝 Enhancement Note: Quest Global's technology stack focuses on data visualization, business intelligence, and project analytics tools, with a strong emphasis on Tableau and SQL databases. Familiarity with additional data visualization, data analysis, and automation tools can be beneficial for career growth in this role.

👥 Team Culture & Values

Web Development Values:

Data-Driven Decision-Making: Use data to inform decision-making and drive process improvement initiatives.
Collaboration & Communication: Foster a collaborative and inclusive work environment that encourages knowledge sharing and cross-functional teamwork.
Continuous Learning & Improvement: Emphasize continuous learning, skill development, and process improvement to drive organizational success.
Customer Focus: Prioritize customer needs and expectations in all aspects of data visualization, business intelligence, and project analytics projects.

Collaboration Style:

Cross-Functional Collaboration: Work closely with project engineers, data analysts, and business stakeholders to ensure data accuracy, relevance, and actionability.
Agile Methodologies: Utilize Agile/Scrum methodologies for project management and sprint planning to facilitate collaboration and continuous improvement.
Knowledge Sharing: Encourage knowledge sharing, mentoring, and professional development to foster a culture of continuous learning and growth.

📝 Enhancement Note: Quest Global's team culture emphasizes collaboration, innovation, and continuous learning, providing a supportive environment for professionals seeking to grow their skills in data visualization and business intelligence.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Complexity: Work with complex, large-scale datasets from multiple sources, including SQL databases, to develop accurate and insightful visualizations.
Data Integration: Consolidate data from diverse sources, including SQL databases, to create comprehensive and actionable dashboards.
Data Validation: Ensure data accuracy, consistency, and integrity by validating against source systems and implementing robust data governance policies.
Process Improvement: Identify and address inefficiencies in data visualization, business intelligence, and project analytics processes to drive continuous improvement.

Learning & Development Opportunities:

Technical Skill Development: Expand your skills in data visualization, business intelligence, and project analytics by working on diverse projects and collaborating with cross-functional teams.
Certification Programs: Pursue Tableau, SQL, or other relevant certifications to enhance your technical proficiency and career prospects.
Conference Attendance: Attend industry conferences, webinars, and workshops to stay up-to-date with the latest trends and best practices in data visualization, business intelligence, and project analytics.

📝 Enhancement Note: Quest Global's technical challenges and learning opportunities provide experienced professionals with the chance to grow their skills in data visualization, business intelligence, and project analytics while contributing to the organization's success.

💡 Interview Preparation

Technical Questions:

Tableau Proficiency: Demonstrate your proficiency in Tableau with examples of interactive dashboards showcasing data visualization, filtering, and sorting capabilities.
SQL Databases: Explain your experience with SQL databases, including data extraction, preparation, and validation processes.
Data Analysis: Describe your approach to data analysis, including data cleaning, transformation, and interpretation techniques.
Process Improvement: Discuss your experience with process improvement initiatives, automation projects, or lean initiatives in engineering/manufacturing contexts.

Company & Culture Questions:

Industry Knowledge: Demonstrate your understanding of Quest Global's industry, business, and data visualization best practices.
Collaboration & Communication: Explain your approach to collaboration and communication, highlighting your ability to work effectively with cross-functional teams.
Problem-Solving: Describe your problem-solving approach, emphasizing your ability to tackle complex data visualization, business intelligence, and project analytics challenges.

Portfolio Presentation Strategy:

Data Visualization: Highlight your proficiency in Tableau with examples of interactive dashboards showcasing data visualization, filtering, and sorting capabilities.
Data Consolidation: Include projects that demonstrate your ability to consolidate data from multiple sources, including SQL databases, and validate data accuracy, consistency, and integrity.
Data Interpretation: Showcase your ability to translate complex data into actionable insights with clear and concise visualizations.
Process Improvement: Emphasize any experience with process improvement initiatives, automation projects, or lean initiatives in engineering/manufacturing contexts.

📝 Enhancement Note: Quest Global's interview process focuses on technical skills, problem-solving abilities, and cultural fit, providing an opportunity for experienced professionals to demonstrate their expertise in data visualization, business intelligence, and project analytics.

📌 Application Steps

To apply for this Senior Software Engineer - Tableau Dashboard Developer with SQL Database position at Quest Global:

Customize Your Portfolio: Tailor your portfolio to highlight your proficiency in Tableau, SQL databases, and data analysis, with a focus on engineering data and project analytics.
Optimize Your Resume: Highlight your relevant skills, experiences, and achievements in data visualization, business intelligence, and project analytics, with an emphasis on engineering data and process improvement initiatives.
Prepare for Technical Challenges: Brush up on your Tableau, SQL, and data analysis skills, focusing on engineering data and project analytics, and prepare for case studies and problem-solving exercises.
Research Quest Global: Familiarize yourself with Quest Global's industry, business, and data visualization best practices to demonstrate your understanding of the organization and its values.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data visualization, business intelligence, and project analytics industry-standard assumptions. All details should be verified directly with Quest Global before making application decisions.

Senior Software Engineer - Tableau dashboard developer with SQL Database