Sr Analyst Data Engineer - India

Nationwide; Hyderabad; Hybrid; INR 900,000 - 1,400,000; Full time

Job summary

Nationwide’s data engineering team is seeking a hands-on Data Engineer to build robust ETL/ELT pipelines and manage data across cloud platforms. You’ll work with Snowflake, AWS, and SQL in a fast-moving, collaborative environment.

You’ll translate business needs into scalable data solutions, partner with data scientists and developers, and contribute to data quality, security and governance while embracing AI-assisted development in modern data architectures.

Qualifications

• 1–3 years of data engineering or data quality experience
• Experience with SQL and data wrangling across structured and unstructured data
• Experience with batch and streaming data pipelines
• Strong communication and collaboration in agile/global environments
• Knowledge of data governance and security practices

Responsibilities

• Design, develop, and maintain scalable data pipelines for real-time and batch data
• Collaborate with data scientists and developers to implement data products
• Translate business needs into technical requirements and plans
• Ensure data quality, security, and governance across platforms
• Contribute to API integrations to handle growing data volume
• Adhere to secure software practices throughout the lifecycle

Skills

ETL/ELT Pipelines

SQL/PL-SQL

Snowflake

AWS

Python (Pandas/Numpy)

GitHub

AI-assisted development

Education

Undergraduate CS/MIS/Statistics

Graduate studies in related field

Tools

Informatica PowerCenter

IICS/IDMC

Autosys / Control-M

Docker

Kubernetes

New Relic / Splunk

Job description

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

• 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

• 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.

Job Description

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.

Key Responsibilities

• Provides technical consultation on data product projects by analyzing end-to-end data product requirements and existing business processes to assist in the design, development and implementation of data products.
• Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined.
• Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
• Develops and maintains scalable data pipelines for both streaming and batch requirements.
• Assists in building out new API integrations to support continuing increases in data volume and complexity.
• 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

One to three years of relevant experience with data quality rules, data management organization/standards, or practices. Experience with query languages, statistical software and data wrangling and provisioning tools. Experience analysing trends and patterns in structured and unstructured data to support business problem solving.

Technical Skills

• Amazon Web Services
• Data Engineering
• Data Management
• Data Pipelines
• Data Quality
• Extract Transform Load (ETL)
• Problem Solving
• Programming Skills

Soft Skills & Attributes

• Data application and practice knowledge
• Effective communication skills
• Ability to set priorities
• 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

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.