Specialist Data Engineer
First seen by Alion on Aug 19, 2026.
About Nationwide :
Nationwide Mutual Insurance, a Fortune 100 company with nearly a century of strength, stability, and purpose-driven innovation, is expanding its global technology footprint.
Our Global Capability Centre (GCC) in Hyderabad plays a strategic role in delivering secure, scalable, and customer-focused digital solutions that support millions of individuals and businesses across the U.
At Nationwide, youll join a forward-thinking team that embraces agile ways of working, fosters a collaborative and inclusive culture, and invests in emerging technologies like cloud, data, AI, and cybersecurity.
Our associates contribute to meaningful work that protects futures and strengthens communitiesmaking a real impact every day.
About The Role :
As a Data Engineer youll be responsible for acquiring, curating, and publishing data for analytical or operational uses.
Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology.
Ready-to-use data can be for both real time and batch data processes and may include unstructured data.
Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks.
Youll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.
Job Requirement :
- 6 to 9 years experience with data management, best practices and software development.
- 2+ years experience with Databricks.
- Experience in Data Warehousing, data integration and data cleansing.
- Development of rules and mappings for data quality and accuracy.
- Strong experience in writing complex SQL.
- 2+ years experience with Python.
- 3+ years of Cloud technology.
- Strong data troubleshooting skills Oracle and MS SQL preferred.
- Strong teamwork and problem-solving skills.
- Experience with software development lifecycle.
- Experience with Agile / Scrum methodologies.
- Experience in Production issues and resolution.
- Experience with Perl a plus.
- Experience with AI Tools a plus.
- Primary Skills Python, AWS, SQL, Python.
- Good to have Databricks/CICD pipeline, Pharos, GitHub.
Experience :
- Six to Nine years of relevant experience with data quality rules, data management organization/standards, practices, and software development.
- Experience in data warehousing, statistical analysis, data models, and queries.
- One to three years experience with Cloud technology and infrastructure including security and access management.
Technical Skills :
- Amazon Web Services.
- Data Engineering.
- Data Management.
- Data Pipelines.
- Data Quality.
- Extract Transform Load (ETL).
- Programming Skills.
- Business Acumen.
Soft Skills & Attributes :
- Data application and practice knowledge.
- Solid communication skills.
- Ability to influence and set priorities.
- Mentoring and coaching abilities to guide associates.
- Identifying and removing blockers to progress.
- Ability to work in agile and global environments.
- Insurance/financial services industry knowledge a plus.
- Other criteria, including leadership skills, competencies and experiences may take precedence.
Additional Information :
Reporting Structure :
- Reports to Technology or Data Leader India.
Working Hours :
- Aligned to India business hours with flexibility for global collaboration.
Location Flexibility :
- [Hybrid/Remote/In-office] with periodic in-office collaboration.
Equal Opportunity Statement :
- Nationwide is committed to diversity and inclusion.
- All qualified applicants will be considered without regard to race, gender, disability, religion, or other protected categories.
Skills
Data Engineering, Data Integration, Data Warehousing, SQL, Python, AWS, ETL, Data Quality