Lead Data Engineer

Posted 11 Hours Ago
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Hiring Remotely in Telangana, IND
Remote
Expert/Leader
Insurance
The Role
Leads the design and implementation of scalable data engineering frameworks, cloud data architectures, real-time pipelines, and data platforms. Establishes standards for data quality, governance, security, metadata, lineage, and compliance. Mentors data engineers, evaluates emerging technologies, collaborates with stakeholders and data modelers, and implements Azure-based architectures with CI/CD and DataOps practices. The role requires extensive experience in data engineering, insurance data operations, modeling, warehousing, streaming, and enterprise transformation programs.
Summary Generated by Built In

About Chubb

 

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com.

 

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

 

Position Details 

 

Job Title: Lead Data Engineer

Function/Department: Technology

Employment Type: Full-time

Location: Hyderabad/Bangalore 

 

Position Summary:

 

We are in search of a highly skilled Lead Data Engineer to join our Data Engineering team, In this pivotal role, you will drive the design and implementation of scalable data engineering frameworks, patterns, and best practices that support business objectives and enhance data utilization across the enterprise. Your expertise will be essential in ensuring that our data foundation is robust, scalable, and aligned with industry best practices.

In this role, you will:

  • Lead the design and development of comprehensive data engineering frameworks and patterns.

  • Establish engineering design standards and guidelines for the creation, usage, and maintenance of data across Chubb Life

  • Drive innovation and build highly scalable real-time data pipelines and data platforms to support the business needs.

  • Act as mentor and lead for the data engineering organization that is business-focused, proactive, and resilient.

  • Implement strategies to monitor the effectiveness of data management.

  • Serve as an engineering leader, coach data engineers and actively contribute to the data leadership team.

  • Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.

  • Develop and promote a strong data management framework, emphasizing data quality, governance, and compliance with regulatory requirements

  • Collaborate with Data Modelers to create data models (conceptual, logical, and physical) 

  • Design and implement meta-data management processes to ensure data lineage, data definitions, and ownership are well-documented and understood

  • Collaborate closely with business leaders, IT teams, and external partners to understand data requirements and ensure alignment with strategic goals

  • Act as a primary point of contact for data engineering discussions and inquiries from various stakeholders

  • Lead the implementation of data architectures on cloud platforms (Azure) to improve efficiency and scalability

  • Build and Implement the CI/CD and DevOps practices for data pipelines (DataOps)

Qualifications

Qualifications

  • Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field; Master’s degree preferred

  • Minimum of 12 years’ experience in data engineering roles, with a significant focus in Life insurance domains preferred.

  • Proven track record of successful implementation of data architecture within large-scale transformation programs or projects

  • Proficiency in programming languages including Python, Scala, and SQL, with hands-on experience in building and optimising data pipelines

  • Experience with DevOps and DataOps practices including CI/CD pipeline automation, version control (Git)

  • Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices

  • Hands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Databricks), change data capture and data streaming (Apache Kafka, Apache Flink) technologies

  • Proven Expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Databricks)

  • Experience with cloud-based data architectures and platforms (e.g., Snowflake, Azure SQL Database, Databricks)

  • Expertise in ensuring data security patterns (e.g. tokenization, encryption)

  • Knowledge of insurance policy operations, regulations, and compliance frameworks 

  • Familiarity with Agile methodologies and experience working in Agile project environments

  • Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture

 

Why Join Us?

  • Be at the forefront of digital transformation in the insurance industry.

  • Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.

  • Work alongside experienced professionals in a collaborative, innovation-driven environment.

Why Chubb?

Join Chubb to be part of a leading global insurance company!

Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.

  • Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
  • A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026
  • Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
  • Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
  • Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment

Employee Benefits

Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:

  • Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
  • Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
  • Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.

Application Process

Our recruitment process is designed to be transparent, and inclusive.

  • Step 1: Submit your application via the Chubb Careers Portal.
  • Step 2: Engage with our recruitment team for an initial discussion.
  • Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
  • Step 4: Final interaction with Chubb leadership.

Join Us

With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.

Apply Nowhttps://www.chubb.com/emea-careers/


Skills Required

  • Bachelor’s degree in computer science, information systems, data engineering, or a related field
  • Master’s degree
  • Minimum 12 years of experience in data engineering roles
  • Significant experience in life insurance domains
  • Successful implementation of data architecture within large-scale transformation programs or projects
  • Proficiency in Python, Scala, and SQL
  • Hands-on experience building and optimizing data pipelines
  • Experience with DevOps and DataOps practices, CI/CD automation, and Git version control
  • Knowledge of data modeling, normalization, and denormalization
  • Experience with Azure SQL, MongoDB, Cosmos DB, Databricks, Apache Kafka, and Apache Flink
  • Expertise in data warehousing, ETL processes, and data integration tools
  • Experience with cloud-based data architectures and platforms such as Snowflake, Azure SQL Database, and Databricks
  • Expertise in data security patterns, including tokenization and encryption
  • Knowledge of insurance policy operations, regulations, and compliance frameworks
  • Familiarity with Agile methodologies and Agile project environments
  • Understanding of advanced analytics, artificial intelligence, and machine learning concepts related to data architecture
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The Company
HQ: Zürich
27,791 Employees

What We Do

Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.

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