Data Engineer
MSCI
2 - 5 years
Pune
Posted: 08/08/2025
Job Description
Your Team Responsibilities
Our team is responsible for building and maintaining the Fund ESG Ratings platform, a business-critical component that powers MSCI’s ESG offerings at the fund level. We manage the end-to-end lifecycle of fund-level ESG data—from ingestion, transformation, and scoring, to final delivery to internal consumers and external clients.
Key responsibilities of the team include:
Designing scalable data pipelines using Databricks, PySpark, and BigQuery.
Supporting regulatory-compliant ESG scoring and reporting logic.
Partnering with ESG Research and Index teams to translate methodology changes into platform features.
Ensuring data quality, platform stability, and SLA adherence.
Driving automation and modernization across the ESG data ecosystem.
Your Key Responsibilities
Develop and maintain distributed data pipelines for ESG and fund-related datasets using PySpark and Databricks.
Perform complex SQL-based transformations in BigQuery and manage data models that support scoring, audit, and delivery.
Analyze ESG scoring results and troubleshoot data discrepancies or platform issues.
Collaborate with stakeholders from Research, Product, and Engineering to deliver enhancements aligned with evolving ESG methodologies.
Lead the incident triage, root cause analysis, and issue resolution for data and platform anomalies.
Document workflows, scoring logic, and data flows for internal transparency and audit-readiness.
Contribute to team-wide initiatives for automation, quality monitoring, and platform scalability.
Your skills and experience that will help you excel
Technical SkillsAdvanced proficiency in Databricks and PySpark for large-scale data processing.
Strong command over SQL, with experience in BigQuery or equivalent distributed databases.
Comfort working with structured and semi-structured datasets (JSON, Parquet, etc.).
Hands-on experience in designing, deploying, and maintaining data pipelines in cloud-native environments.
Strong data analysis skills to investigate anomalies, validate scoring logic, and derive insights from ESG fund data.
Exposure to ESG concepts or financial products like mutual funds, ETFs, and indices (preferred but not mandatory).
Ability to translate business rules into technical logic and validation mechanisms.
Problem-solving mindset with strong debugging and root cause analysis skills.
Excellent communication and documentation abilities to work across global, cross-functional teams.
Self-driven, proactive attitude with ownership of critical workflows and timelines.
About Company
MSCI Inc. is a leading global provider of critical decision-support tools and services for the investment community. The company is best known for its market indexes, such as the MSCI World and MSCI Emerging Markets Indexes, which are widely used as benchmarks by asset managers and institutional investors worldwide. In addition to indexes, MSCI offers portfolio risk and performance analytics, real estate data, and environmental, social, and governance (ESG) research to help clients make informed investment decisions. With a strong presence across major financial markets, MSCI plays a pivotal role in shaping investment strategies and facilitating transparency in global capital markets.
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