Lead Software Engineer (Data Engineer)
S&P Global · 4 Locations, India
Free account: apply link, HR contact and an AI-written cold email
S&P Global · 4 Locations, India
Free account: apply link, HR contact and an AI-written cold email
About the Role: Grade Level (for internal use): 10S&P Dow Jones Indices The Role: Lead Software Engineer (Data Engineer) The Team: We are looking for a junior Data Engineer to join our offshore team in India. This role is focused on supporting data onboarding, pipeline support, and basic platform activities. You will work under the guidance of senior team members to assist with routine tasks related to data pipelines, integrations, and cloud-native data platform operations. This is a hands-on, execution-focused role suitable for someone starting their career in data engineering or looking to develop core skills in a modern data platform environment leveraging AWS. Responsibilities: Data Onboarding & Support Assist in onboarding new data assets to the enterprise platform following established procedures. Support existing data pipelines by monitoring, troubleshooting, and performing routine maintenance. Help ensure data quality and consistency during onboarding and ongoing operations. Follow documented processes and checklists to support data ingestion and transformation tasks. Support data storage and processing using Amazon S3 as the core cloud storage layer, ensuring data is organized, secure, and accessible. Support metadata management and data cataloging using AWS Glue Data Catalog to facilitate discoverability and governance. Assist in implementing data validation, quality checks, and lineage documentation. Write and maintain Python scripts and Big data processing engines transformations for data ingestion, processing, and automation tasks. Platform & Pipeline Maintenance Support the team in maintaining data pipelines, fixing issues, and implementing small enhancements. Assist with data validation, metadata tagging, and basic lineage documentation. Help monitor pipeline health and escalate issues as needed. Support operational activities such as deployment, testing, and routine monitoring. Contribute to automation of deployment and operational workflows using AWS CloudFormation, or similar tools. Collaboration & Documentation Work with senior engineers to understand platform standards and best practices. Document onboarding steps, pipeline configurations, and operational procedures. Communicate effectively with team members and stakeholders about progress and issues. Operational Support Participate in production incident response and troubleshooting. Support routine deployment, testing, and monitoring activities. Contribute to team knowledge sharing and documentation efforts. Required Qualifications 5+ years of experience in data engineering, data support, or related roles. Basic knowledge of SQL, Python, and Big data processing engines. Hands-on experience with programming in Python or similar languages for data processing and automation. Familiarity with cloud data platforms such as Databricks or similar. Understanding of data onboarding, data quality, metadata, and lineage concepts.
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