Software Engineer

Morningstar; Delhi; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

Morningstar India Private Ltd. in Delhi is seeking a Data Engineer to design and build scalable data pipelines and services for the Advice Software platform.

You will collaborate with product managers, architects, and engineers to deliver robust data solutions using modern cloud and open-source technologies. Applicants should have a Bachelor's in computer science, at least 2 years in data or software engineering, strong Python and SQL skills, and experience with ETL/ELT, REST APIs, and data

Qualifications

• Bachelor’s degree in computer science or a related field.
• 2+ years of experience in Data Engineering or Software Engineering.
• Strong Python and SQL skills.

Responsibilities

• Design and develop scalable data pipelines and data services.
• Build reliable data solutions using cloud and open-source tech.
• Collaborate with Product, Architecture, and Engineering teams to translate requirements.
• Ensure data quality, performance, scalability, and maintainability.
• Contribute to engineering best practices, code reviews, and Agile delivery.
• Leverage AI-assisted development tools to improve productivity and code quality.

Skills

Python

SQL

ETL/ELT

REST APIs

Agile Scrum

Education

Bachelors in CS or related

Tools

Apache Spark

Apache Iceberg

PostgreSQL

DuckDB

Airflow

Kafka

GitHub Copilot / AI tools

Job description

The Group

The Advice Software team within Morningstar Wealth builds industry leading solutions that empower financial advisors to deliver personalized, compliant, and goal based financial advice. Our products leverage Morningstar's trusted investment data, research, and analytics to help advisors make informed decisions and improve client outcomes.

We are focused on building modern, scalable platforms and data solutions that accelerate innovation, improve operational efficiency, and enable the next generation of wealth management products.

The Role

We are building the next generation of our data platform to support revenue management and financial planning applications. This role is focused on developing scalable data pipelines, APIs, and data services using modern cloud technologies.

You will work closely with Product Managers, Architects, and Engineering teams to design and build reliable data solutions that power business critical applications. This is primarily a new development role with opportunities to contribute to platform architecture, engineering standards, and AI enabled development practices.

Responsibilities

• Design and develop scalable data pipelines and data services.


• Build reliable and efficient data solutions using modern cloud and open-source technologies.


• Collaborate with cross-functional teams to translate business requirements into technical solutions.


• Ensure data quality, performance, scalability, and maintainability.


• Contribute to engineering best practices, code reviews, and Agile delivery.


• Leverage AI assisted development tools to improve engineering productivity and code quality.

Requirements

• Bachelor’s degree in computer science or a related field.


• Minimum 2 years of professional experience in Data Engineering or Software Engineering.


• Strong programming skills in Python and SQL.


• Experience building ETL or ELT pipelines and working with relational databases.


• Experience with cloud data platforms and modern data technologies such as Apache Spark, Apache Iceberg, PostgreSQL, DuckDB, Airflow, Kafka, or similar technologies.


• Understanding of REST APIs and modern data architectures.


• Experience using AI assisted coding tools such as GitHub Copilot, Cursor, or ChatGPT.


• Familiarity with Large Language Models and their practical application in software engineering.


• Strong problem solving, communication, and collaboration skills.


• Experience working in Agile Scrum teams

Preferred Qualifications

• Experience with Azure, AWS, or Google Cloud.


• Knowledge of Lakehouse architectures and modern open table formats.


• Experience with CI and CD, automated testing, and DevOps practices.


• Exposure to financial services or enterprise data platforms.

Morningstar is an equal opportunity employer.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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