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Senior Software Engineer

Morningstar
Mumbai, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 1 months ago
awsdbtecsgitpower-bipython

Full Job Posting

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 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.
  • 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.

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