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    Job · 19150237

    Morningstar logo

    Software Engineer

    Morningstar · Delhi · onsite · Posted 26d ago

    Undisclosed2–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Title: Software Engineer

    About the Role
    We’re looking for a Software Engineer with strong Data Engineering experience to join our team. This role is ideal for someone who enjoys working with data infrastructure, is comfortable in AWS, and wants to grow into advanced data processing with technologies like Python, Spark, and streaming.

    You’ll help design and scale data pipelines that integrate data from 100+ sources, power analytics, and drive business decisions across the company.

    What You’ll Do

    • Build and maintain scalable data ingestion and transformation pipelines
    • Work with AWS-native services to move and store data efficiently (e.g., S3, Lambda, ECS, Glue, EMR)
    • Collaborate with engineers, analysts, and stakeholders to define data models and interfaces
    • Design with future expansion in mind – Python-based processing, and
    • Ensure reliability, data quality, lineage, and observability across our data workflows

    Tech Stack

    • Current: AWS, TypeScript (Node.js), Postgres, S3
    • On the Roadmap: Python, Apache Spark, Iceberg/Hudi on S3

    What We’re Looking For

    • 2–5 years of experience in software or data engineering
    • Solid AWS experience, especially with data services (e.g., S3, Glue, Lambda, Step Functions)
    • Familiarity with ELT/ETL pipelines and modern data architectures
    • Willingness to learn and grow into Python-based data processing and distributed systems (Spark, streaming)
    • Strong SQL and data modelling fundamentals
    • Experience with version control, CI/CD, and infrastructure-as-code (e.g., Terraform)

    Nice to Have

    • Exposure to Python for data workflows
    • Experience with data lake formats (Iceberg/Hudi), or event-driven architectures
    • Knowledge of data observability, cataloging, or governance tools
    • Understanding of secure data practices and secrets management (e.g., AWS Secrets Manager)

    Why Join Us?

    • Work on a fast-evolving data platform integrating over 100 sources
    • Opportunity to shape architecture and tech choices from early stages
    • Modern dev environment, high autonomy, and a collaborative team
    • Career growth into distributed systems, streaming, and advanced data engineering

    Let me know if you'd like to add compensation range, team size, reporting lines, or any company branding.

    Morningstar is an equal opportunity employer.

    Sourced from naukri

    Skills

    PostgresqlApache SparkApachecdamazon web serviceslambda expressionsinterfacesfundamentalsstackSoftwaredataAWS ECSData EngineeringPythonNode.JsTypescriptSQLArchitectureSoftware EngineeringETLData ModelingDistribution SystemGITCi/Cd

    About Morningstar

    Morningstar logo

    Morningstar

    Financial Services

    4.5k+

    employees

    1984

    42 years old

    Chicago,Illinois

    United States

    About

    Morningstar delivers independent investment research and data across global markets, aiding diverse investors in informed decision-making.

    Industries

    Financial ServicesInternetAnalytics & KPO

    Employee ratings

    1,419 reviews

    3.7/ 5

    Culture

    4.0

    Career growth

    2.9

    Work-life

    4.1

    Employees rate it well for

    Work Culture294Work Life Balance290Salary232Senior Management131Career Growth100

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    Software Engineer · waiting for your command