Database Engineer

📍 Job Overview

• Job Title: Database Engineer
• Company: Swiss Re
• Location: Hyderabad, Telangāna, India
• Job Type: On-site
• Category: Database Administration & Infrastructure
• Date Posted: 2025-06-11
• Experience Level: Mid-Senior level (5-10 years)

🚀 Role Summary

Swiss Re is seeking a Database Engineer to join their team in Hyderabad, India. This role involves designing, developing, and maintaining sophisticated in-house insurance products built on relational or document databases. The ideal candidate will have a strong background in database design, data migration, and performance optimization, with experience in public cloud platforms, particularly Microsoft Azure.

📝 Enhancement Note: This role requires a balance of technical depth and breadth, with a focus on data architecture, integration, and optimization. The ideal candidate will be comfortable working in a collaborative, cross-functional team environment and have a passion for continuous learning and improvement.

💻 Primary Responsibilities

• Database Architecture & Design: Design, develop, deploy, and support sustainable data architectures, including design patterns, reference data architecture, conceptual, logical, and physical data models for both relational and NoSQL databases.
• Data Migration & Integration: Perform data migration, ingestion, and transfer from/to heterogeneous databases and file types using tools like Informatica and Azure Data Factory.
• Performance Optimization: Optimize database performance through query fine-tuning, indexing strategies, and other techniques to ensure efficient data retrieval and processing.
• Cloud Data Assessment & Forecasting: Support project teams in conducting public cloud data growth and data service consumption assessments and forecasts.
• Cross-Functional Collaboration: Collaborate effectively with requirements engineers, QA specialists, and other application engineers to deliver high-quality solutions that meet business needs.
• Emerging Technologies & Generative AI: Stay current with emerging technologies and generative AI developments to continuously improve database solutions and drive business value.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications and advanced degrees are a plus.

Experience: 5-10 years of experience in database design, development, and administration, with a strong focus on relational and NoSQL databases. Proven experience in public cloud platforms, particularly Microsoft Azure.

Required Skills:

• Proficiency in relational and NoSQL databases
• Strong PL/SQL programming skills
• Expertise in data modeling and database design for both relational and NoSQL databases
• Experience with seamless data integration using Informatica and Azure Data Factory
• Proven public cloud experience, particularly with Microsoft Azure

Preferred Skills:

• Experience with generative AI and emerging technologies in the database domain
• Familiarity with insurance industry data models and business processes
• Strong problem-solving skills and a proactive approach to identifying and addressing performance bottlenecks

📊 Web Portfolio & Project Requirements

While a portfolio is not explicitly required for this role, demonstrating relevant database design, migration, and optimization projects can strengthen your application. Highlight projects that showcase your ability to work with large datasets, optimize performance, and integrate data from diverse sources.

💵 Compensation & Benefits

Salary Range: INR 1,200,000 - 1,800,000 per annum (Based on experience and industry standards for mid-senior level database engineers in Hyderabad)

Benefits:

• Comprehensive health insurance and wellness programs
• Retirement savings plans and pension contributions
• Generous vacation and leave policies
• Flexible work arrangements and remote work options
• Professional development opportunities and training programs
• A collaborative and inclusive work environment that values diversity and encourages continuous learning

Working Hours: Full-time (40 hours per week) with flexible working hours and remote work options available.

📝 Enhancement Note: Swiss Re offers a competitive salary and benefits package, reflecting the importance of this role in driving business value through data management and optimization.

🎯 Team & Company Context

🏢 Company Culture

Industry: Swiss Re is a global reinsurance company, providing insurance-based risk transfer solutions to clients worldwide. This role is part of their in-house product development team, focusing on insurance products and services.

Company Size: Swiss Re has over 14,000 employees across the globe, providing a large and diverse talent pool for collaboration and learning.

Founded: 1863, with a rich history and established expertise in the reinsurance industry.

Team Structure:

• The Database Engineer will be part of a cross-functional product team, working closely with requirements engineers, QA specialists, and other application engineers.
• The team follows Agile methodologies, with a focus on continuous improvement and high-quality delivery.
• Swiss Re values engineering excellence and encourages leaders to be engineers themselves, fostering a culture of technical expertise and collaboration.

Development Methodology:

• Agile/Scrum methodologies, with sprint planning, code reviews, and regular team retrospectives.
• Continuous integration and deployment pipelines, ensuring efficient and reliable software delivery.
• A strong focus on quality assurance, testing, and performance optimization.

Company Website: https://www.swissre.com/

📝 Enhancement Note: Swiss Re's culture emphasizes engineering excellence, collaboration, and continuous learning, providing an ideal environment for a mid-senior level database engineer to grow and make a significant impact.

📈 Career & Growth Analysis

Database Engineer Career Level: This role is at the mid-senior level, with a focus on technical depth and breadth. The ideal candidate will have a strong background in database design, migration, and optimization, with experience in public cloud platforms and emerging technologies.

Reporting Structure: The Database Engineer will report directly to the Product Team Lead, collaborating closely with other engineers, product owners, and stakeholders to deliver high-quality solutions that meet business needs.

Technical Impact: This role has a significant impact on Swiss Re's insurance products and services, ensuring data accuracy, availability, and performance. The Database Engineer will work on high-visibility projects that drive business value and improve customer experiences.

Growth Opportunities:

• Technical Leadership: With experience and strong performance, the Database Engineer can progress to a senior or principal role, leading teams and driving technical strategy.
• Architecture & Design: The ideal candidate can specialize in database architecture and design, becoming a subject matter expert and driving best practices across the organization.
• Emerging Technologies: As Swiss Re continues to invest in emerging technologies, the Database Engineer can explore new areas such as generative AI, machine learning, and IoT to expand their skillset and drive innovation.

📝 Enhancement Note: Swiss Re offers strong career growth opportunities for talented database engineers, with a clear path to technical leadership and architecture roles.

🌐 Work Environment

Office Type: Swiss Re's Hyderabad office is a modern, collaborative workspace designed to foster innovation and creativity. The office features open-plan workspaces, dedicated team rooms, and state-of-the-art technology infrastructure.

Office Location(s): Swiss Re's Hyderabad office is located in the Gachibowli area, with easy access to public transportation and amenities. The office is designed to be wheelchair-accessible and inclusive.

Workspace Context:

• Collaboration: The open-plan workspace encourages cross-functional collaboration and knowledge sharing between teams.
• Technology Infrastructure: Swiss Re provides high-quality hardware, software, and tools to ensure optimal productivity and performance.
• Work-Life Balance: Swiss Re offers flexible work arrangements, including remote work options and flexible hours, to support a healthy work-life balance.

Work Schedule: Full-time (40 hours per week) with flexible working hours and remote work options available. Swiss Re encourages employees to maintain a healthy work-life balance and offers generous vacation and leave policies to support this.

📝 Enhancement Note: Swiss Re's work environment is designed to be collaborative, inclusive, and supportive of work-life balance, providing an ideal setting for a mid-senior level database engineer to thrive and grow.

📄 Application & Technical Interview Process

Interview Process:

1. Phone/Video Screen: A brief conversation to assess communication skills, cultural fit, and initial technical competency (30-45 minutes).
2. Technical Deep Dive: A comprehensive technical assessment, focusing on database design, optimization, and migration skills, as well as problem-solving and algorithmic abilities (60-90 minutes).
3. Behavioral & Cultural Fit: An in-depth discussion to evaluate communication skills, teamwork, and cultural alignment with Swiss Re's values (45-60 minutes).
4. Final Review: A meeting with the hiring manager or a senior team member to discuss the candidate's fit for the role and the team (30-45 minutes).

Portfolio Review Tips:

• Highlight relevant database design, migration, and optimization projects, demonstrating your ability to work with large datasets and diverse data sources.
• Include case studies that showcase your problem-solving skills, performance optimization techniques, and data integration strategies.
• Be prepared to discuss your approach to emerging technologies and generative AI in the database domain.

Technical Challenge Preparation:

• Brush up on your PL/SQL programming skills, focusing on database design, optimization, and migration tasks.
• Familiarize yourself with Swiss Re's products and services, understanding the unique data challenges and opportunities in the insurance industry.
• Prepare for behavioral questions that assess your communication skills, teamwork, and cultural fit with Swiss Re's values.

ATS Keywords: Database Engineer, Relational DBs, NoSQL DBs, PL/SQL, Data Modeling, Database Design, Data Integration, Informatica, Azure Data Factory, Microsoft Azure, Public Cloud, Generative AI, Insurance Industry, Agile Methodologies, Collaborative Environment, Work-Life Balance.

📝 Enhancement Note: Swiss Re's interview process is designed to assess both technical competency and cultural fit, with a strong emphasis on collaboration, communication, and problem-solving skills.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

• Relational Databases: Oracle, SQL Server, PostgreSQL
• NoSQL Databases: MongoDB, Cassandra, Redis
• Cloud Databases: Azure SQL Database, Amazon RDS, Google Cloud SQL

Programming Languages & Tools:

• PL/SQL
• Python, Java, C#
• Informatica, Azure Data Factory
• Microsoft Azure, AWS, Google Cloud Platform
• Git, JIRA, Confluence

Infrastructure & Deployment:

• Microsoft Azure, AWS, Google Cloud Platform
• Docker, Kubernetes
• CI/CD Pipelines: Azure DevOps, Jenkins, GitLab CI/CD
• Monitoring Tools: New Relic, Datadog, Prometheus

📝 Enhancement Note: Swiss Re's technology stack is diverse and cutting-edge, providing ample opportunities for database engineers to learn and grow in a dynamic and innovative environment.

👥 Team Culture & Values

Swiss Re Values:

• Client Focus: Swiss Re is committed to understanding and meeting the unique needs of its clients, providing tailored insurance solutions and exceptional service.
• Expertise: Swiss Re's success is built on the deep technical expertise of its employees, who strive to deliver innovative and effective solutions to complex challenges.
• Innovation: Swiss Re fosters a culture of continuous learning and improvement, encouraging employees to explore new ideas, technologies, and approaches to drive business value.
• Collaboration: Swiss Re values open communication, teamwork, and cross-functional collaboration, recognizing that diverse perspectives and expertise drive better outcomes.
• Integrity: Swiss Re is committed to the highest ethical standards, conducting business with honesty, transparency, and accountability.

Collaboration Style:

• Cross-Functional Integration: Swiss Re encourages collaboration between teams, with regular knowledge sharing, technical mentoring, and community-building activities.
• Code Review Culture: Swiss Re values code reviews and pair programming, ensuring high-quality, maintainable, and secure software.
• Knowledge Sharing: Swiss Re fosters a culture of continuous learning, with regular training, workshops, and brown bag sessions to help employees expand their skills and expertise.

📝 Enhancement Note: Swiss Re's culture is built on a strong foundation of technical expertise, innovation, and collaboration, providing an ideal environment for a mid-senior level database engineer to thrive and grow.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Data Growth & Scalability: Swiss Re's insurance products and services are growing rapidly, requiring database engineers to design and implement scalable solutions that can handle increased data volumes and user demand.
• Data Integration & Migration: Swiss Re works with diverse data sources and systems, requiring database engineers to develop and maintain seamless data integration and migration processes using tools like Informatica and Azure Data Factory.
• Performance Optimization: Swiss Re's insurance products and services require high-performance, low-latency databases to ensure optimal user experiences and business outcomes. Database engineers must continuously monitor and optimize database performance, identifying and addressing bottlenecks proactively.
• Emerging Technologies: As Swiss Re invests in emerging technologies like generative AI, machine learning, and IoT, database engineers must stay current with the latest trends and best practices, integrating new tools and techniques into their work.

Learning & Development Opportunities:

• Technical Skill Development: Swiss Re offers comprehensive training and development programs, enabling database engineers to expand their skillset and advance their careers.
• Conference Attendance & Certification: Swiss Re encourages employees to attend industry conferences, obtain relevant certifications, and engage with professional communities to stay current with the latest trends and best practices in database engineering.
• Technical Mentorship & Leadership: Swiss Re provides opportunities for database engineers to mentor junior team members, share their expertise, and develop their leadership skills. With experience and strong performance, database engineers can progress to senior or principal roles, driving technical strategy and architecture decisions.

📝 Enhancement Note: Swiss Re offers a wide range of technical challenges and growth opportunities for database engineers, with a strong focus on innovation, collaboration, and continuous learning.

💡 Interview Preparation

Technical Questions:

• Database Design & Architecture: Describe your approach to designing and implementing sustainable data architectures for relational and NoSQL databases. How do you ensure data consistency, integrity, and availability?
• Data Migration & Integration: Walk us through a complex data migration or integration project you've worked on, highlighting the challenges you faced and the solutions you implemented.
• Performance Optimization: Explain your process for identifying and addressing database performance bottlenecks. Provide specific examples of optimization techniques you've used to improve query performance and data retrieval.
• Emerging Technologies: How do you stay current with emerging technologies in the database domain? Describe a project or initiative where you've integrated a new tool or technique to drive business value.

Company & Culture Questions:

• Swiss Re's Products & Services: How do you see your role contributing to Swiss Re's insurance products and services? What unique insights or perspectives can you bring to the team based on your experience and expertise?
• Agile Methodologies: Describe your experience with Agile methodologies, such as Scrum or Kanban. How have you contributed to high-quality, efficient software delivery in a collaborative, cross-functional team environment?
• User Experience & Design: How do you ensure that your database solutions meet the needs of users and stakeholders? Describe your approach to balancing technical requirements with user-centered design principles.

Portfolio Presentation Strategy:

• Database Design & Architecture: Highlight your most impressive database design or architecture project, explaining your approach to data modeling, schema design, and normalization.
• Data Migration & Integration: Showcase a complex data migration or integration project, demonstrating your ability to work with diverse data sources, tools, and technologies.
• Performance Optimization: Present a case study that demonstrates your ability to optimize database performance, identify bottlenecks, and implement effective solutions.
• Emerging Technologies: Include a project or initiative that showcases your experience with emerging technologies in the database domain, highlighting your ability to drive innovation and business value.

📝 Enhancement Note: Swiss Re's interview process is designed to assess both technical competency and cultural fit, with a strong emphasis on collaboration, communication, and problem-solving skills. By preparing thoroughly and demonstrating your passion for database engineering and continuous learning, you'll increase your chances of success in the interview process.

📌 Application Steps

To apply for this Database Engineer position at Swiss Re:

1. Customize Your Resume: Highlight your relevant database design, migration, and optimization projects, as well as your experience with public cloud platforms and emerging technologies. Tailor your resume to Swiss Re's values and culture, emphasizing your fit for the role and the team.
2. Prepare Your Portfolio: Showcase your most impressive database projects, demonstrating your ability to work with large datasets, diverse data sources, and emerging technologies. Include case studies that highlight your problem-solving skills, performance optimization techniques, and data integration strategies.
3. Research Swiss Re: Familiarize yourself with Swiss Re's products, services, and industry context. Understand the unique data challenges and opportunities in the insurance industry, and be prepared to discuss how your skills and experience align with Swiss Re's needs.
4. Practice Technical Interview Questions: Brush up on your PL/SQL programming skills, focusing on database design, optimization, and migration tasks. Prepare for behavioral questions that assess your communication skills, teamwork, and cultural fit with Swiss Re's values. Use the technical interview questions and company & culture questions provided above to guide your preparation.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions about database engineering roles at Swiss Re. All details should be verified directly with the hiring organization before making application decisions.