Senior Software Engineer

17 Minutes ago • 8 Years +

Job Summary

Job Description

Join Morningstar's Corporate Systems Data Enablement team as a Senior Data Engineer in Mumbai. You will design, develop, and optimize data pipelines, manage AWS cloud infrastructure, and maintain SQL Server data models and Informatica ETL processes. This role involves migrating data pipelines to modern data warehouses like Snowflake, optimizing SQL queries, and writing Python code for data workflows. You will collaborate with stakeholders, ensure data quality, and mentor junior engineers, contributing to Business Intelligence Reporting and empowering investors.
Must have:
  • Design, develop, and optimize data pipelines.
  • Manage and maintain cloud-based data infrastructure on AWS.
  • Maintain SQL Server-based data models and Informatica ETL processes.
  • Support migration of data pipelines from SQL Server to modern data warehouses like Snowflake.
  • Optimize SQL queries, stored procedures, indexing strategies, and data models.
  • Write efficient, reusable, and scalable Python code for data workflows.
  • Monitor data quality and ensure data integrity, governance, and security.
  • Troubleshoot and optimize performance issues across data systems.
  • Collaborate with data analysts, data scientists, product managers, and stakeholders.
  • Bachelor's degree in Computer Science or related field.
  • Over eight years of experience in data engineering and data warehousing solutions.
  • Experience in designing and implementing ETL/ELT frameworks.
  • Proficiency in handling large data sets, performance tuning, and troubleshooting.
  • Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3).
  • Experience with data visualization tools like Tableau or Power BI.
  • Expert-level SQL skills.
  • Experience with version control (e.g., Git) and collaborative development practices.
  • Strong understanding of data governance practices.
  • Proven experience working within a global agile team.
Good to have:
  • Experience with Snowflake, DBT, and DataHub.
Perks:
  • Hybrid work environment (remote and in-person collaboration)
  • Flexibility benefits

Job Details

The Role:

At Morningstar, helping investors is what brings us together and drives our work. We are looking for a Senior Data Engineer to join the Corporate Systems Data Enablement team to support Morningstar’s Business Intelligence Reporting, grow with us, introduce us to new ideas and develop products that empower our users. Every day, you’ll partner with team members across disciplines developing products for investors. You’ll interact daily with product managers, and business stakeholders to understand our domain and create technical solutions that push us forward. You will be a member of a vibrant technical community and share your technical knowledge while also learning from your fellow technologist. This position is based in our Mumbai office.

Responsibilities

  • Design, develop, and optimize data pipelines to support data integration, transformation, and storage in a modern data warehouse.
  • Manage and maintain cloud-based data infrastructure on AWS.
  • Maintain SQL Server-based data models and Informatica ETL processes.
  • Support the migration of data pipelines from SQL Server to a modern data warehouse like Snowflake.
  • Optimize SQL queries, stored procedures, indexing strategies, and data models for efficiency and scalability
  • Work closely with data analysts, data scientists, product manager and other stakeholders to understand business requirements and provide efficient data solutions.
  • Write efficient, reusable, and scalable Python code to automate data workflows.
  • Monitor data quality and ensure data integrity, governance and security in the data pipelines.
  • Troubleshoot and optimize performance issues across data systems.
  • Mentor and collaborate with junior data engineers to improve overall team capabilities.
  • Work closely with analytics and BI teams to support reporting and dashboarding needs.

Requirements

  • A bachelor's degree in Computer Science or a related field.
  • Over eight years of experience in data engineering, building end-to-end data integration and data warehousing solutions for analytics teams.
  • Experience in designing and implementing ETL/ELT frameworks for complex data warehouses/marts.
  • Proficiency in handling large data sets, with experience in performance tuning and troubleshooting.
  • Experience with AWS compute technologies (Lambda, ECS/ECR, EC2, API Gateway, IAM, S3).
  • Experience with data visualization tools like Tableau or Power BI.
  • Experience with Snowflake, DBT and DataHub is a plus.
  • Proficiency in Python programming for data engineering tasks (e.g., data wrangling, automation, and ETL).
  • Expert-level SQL skills.
  • Experience with version control (e.g., Git) and collaborative development practices.
  • Strong understanding of data governance practices.
  • Proven experience working within a global agile team.
  • Strong problem-solving skills and the ability to work in a fast-paced environment.
  • A flexible team player who remains organized and productive while managing multiple deliverables.

Morningstar is an equal opportunity employer

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days 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.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

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