Sr. Data Engineer, Analytics Engineering
Morningstar, Inc. (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain data pipelines and models to support data analysis and business intelligence across enterprise technologies and PitchBook platform data.
- Implement and govern data processes including cleansing, deduplication, normalization, and business logic for data products on Snowflake data warehouse.
- Collaborate with internal stakeholders to deliver accurate, secure, and timely data and insights using technologies such as Python, Docker, Tableau, and Power BI.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum 5 years experience in data engineering including pipeline creation, data modeling, and architecture.
- Expertise in advanced SQL (5+ years) and Python scripting (3+ years) for data pipelines and analysis.
- Experience with ETL/ELT processes, Airflow, Kafka, data warehousing (e.g. Snowflake), and data governance standards.
Ideal Candidate Profile
- Experienced senior data engineer skilled in building and evolving scalable data pipelines and models using modern data and reporting technologies.
- Ability to work cross-functionally with technical and non-technical stakeholders to translate business needs into data solutions.
- Proficient in data governance, quality assurance, and managing complex enterprise data sources (CRM, ERP, financial systems).