Specialist, Data Engineer - India

Nationwide; Hyderabad; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Nationwide is seeking a Data Engineer to join the Technology team in India, with Hyderabad-based flexibility. The role focuses on building secure, reliable data pipelines and analytics platforms using AWS, Snowflake, Python, and modern CI/CD practices.

You will work across real-time and batch data, collaborating with data scientists, business users and IT to deliver scalable data solutions that enable informed decision making. Relevant cloud and data warehousing experience is essential.

Qualifications

• Three to five years of data quality, data management standards, and software development experience.
• Experience in data warehousing, statistical analysis, data models and queries.
• 1–3 years of cloud tech and infrastructure including security and access management.

Responsibilities

• Lead design, development and implementation of data products from end to end.
• Create data models, data flows and building blocks for reporting and analytics.
• Apply secure software engineering practices across the delivery lifecycle.
• Translate business data stories into technical tasks and estimates.
• Provide user access methods by mapping data to a common model and transformations.
• Collaborate on CI/CD best practices with DevSecOps teams (JIRA/Jenkins/Confluence).
• Monitor data quality and ensure production data is accurate and available.
• Develop scalable data pipelines for streaming and batch data; build API integrations.
• Write data unit/integration tests and reusable testing data/scripts.
• Practice Git-based code management and integration.

Skills

ETL/ELT Pipelines with Informatica

SQL/PLSQL with Oracle/MS SQL

Snowflake Cloud Datawarehouse

AWS: EC2/S3/IAM/Lambda/EFS

Python (Pandas/Numpy)

Github Version Repository

AI/LLMs & RAG development

Education

Undergraduate studies in CS/MIS/Math/Stats/related field

Graduate studies in related field (plus)

Tools

Stonebranch Autosys/Airflow

Harness/GitHub Actions/Jenkins

Docker

Kubernetes

New Relic/Splunk monitoring

Job description

If you’re passionate about being part of a dynamic organization that enables a Fortune 100 company with nearly $70 billion in annual sales to drive innovation and adopt new technologies that deliver business results, then Nationwide’s Technology team could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

Required Technical Skills – Data Engineer

Candidates must possess a hands‑on technical experience within the following technologies. These are foundational technologies within our tech stack that candidates will be working with on a daily basis in which competency is expected from the outset.

• ETL/ELT Pipelines using Informatica Powercenter/IICS/IDMC
• SQL, PL/SQL with Oracle and MS SQL Server,
• Snowflake Cloud Datawarehouse
• Amazon Web Services: EC2, S3, IAM, Lambda, EFS
• Python for Data processing using Pandas, dataframes, Numpy
• Github Version Repository
• AI Assisted Development: LLMs, RAG, embeddings, agents, prompt engineering

Supplementary Technical Skills

Particularly strong candidates would have exposure to the following additional tools and technologies. While familiarity in these are not strictly necessary from the outset, on-the-job upskilling will be required on a self‑directed basis.

• Batch orchestration using UAC Stonebranch or similar (Autosys, Control‑M, Airflow)
• Data‑modeling, Star/Snowflake schemas and normalized designs.
• CI/CD: Harness, GitHub Actions, Jenkins
• Containerization & Orchestration: Docker, Kubernetes
• Monitoring & Observability: New Relic, Splunk, or similar tools

Job Description Summary

Nationwide’s industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you.

As a Data Engineer you’ll 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. You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.

Job Description

Key Responsibilities

• Provides basic to moderate technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products.
• Produces data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration.
• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
• Creates simple to moderate business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content.
• Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc.
• Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity.
• Writes and performs data unit/integration tests for data quality with input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied. Can create automated testing programs and data that are re‑usable for future code changes.
• Practices code management and integration with engineering Git principle and practice repositories.

Qualifications & Experience

May perform other responsibilities as assigned.

Education

Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred. Graduate studies in business, statistics, math, computer science or a related field are a plus.

Experience

Three to five 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.