S&P Global
DataEngineeringIntern(DataIntegration&PipelineDevelopment)
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“Data Engineering Intern (Data Integration & Pipeline Development) at S&P Global. Skills: Data Integration, ETL/ELT, Data Pipelines. Assist in building ETL/ELT pipelines. Support data integration”
What You'll Achieve.
Provision clean, usable datasets; Ensure data quality, consistency, and reliability; Optimize data storage
Industry & Context.
analytical and problem-solving skills
Willingness to work night shift hours, Availability to work on-site twice per week
What They're Looking For.
Must Have
Students graduating in May/June 2026 or recent graduates with a bachelor 's degree in computer science, Software Engineering, Data Science or a related field, Fresher or up to 6 months of experience, understanding of Databases and SQL, Data structures and basic algorithms, Willingness to work night shift hours, Availability to work on-site twice per week, analytical and problem-solving skills, Good communication and documentation abilities
Nice to Have
Python, SQL, or similar languages, Data pipelines and workflow tools (e. g. , Airflow, dbt, etc. ), Cloud data platforms (AWS, Azure, GCP, Snowflake, etc. ), Data warehousing concepts and architectures, APIs and data ingestion patterns, Basic understanding of distributed data processing concepts
What You'll Do.
Assist in building ETL/ELT pipelines
Support data integration
Develop data transformation workflows
Work with large datasets
Collaborate with analytics teams
Contribute to data modeling
Monitor data pipelines
Troubleshoot data pipelines
Follow best practices
How You'll Work.
Team & Collaboration
Collaborate with analytics and AI teams; Collaborate with each other; Collaborate with customers
Communication Scope
Good communication abilities
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 05 **About the Role** We are looking for a motivated and technically curious **Data Engineering Intern** to join our team. This role provides hands-on exposure to data integration, ETL/ELT pipeline development, and data platform engineering, working alongside experienced professionals on production-grade systems. This internship is ideal for candidates who want practical experience in modern data architectures and scalable data processing environments. **Key Responsibilities** * Assist in building and maintaining **ETL/ELT pipelines** for ingesting data from multiple sources * Support data integration across internal systems, APIs, and external data providers * Develop and optimize **data transformation workflows** for structured and semi-structured data * Work with large datasets to ensure data quality, consistency, and reliability * Collaborate with analytics and AI teams to provision clean, usable datasets * Contribute to **data modeling, schema design, and storage optimization** * Monitor and troubleshoot data pipelines and workflows * Document data flows, pipeline logic, and engineering processes * Follow best practices for **data governance, security, and performance optimization** **Required Qualifications** * **Students graduating in May/June 2026 or recent graduates with a bachelor 's degree in computer science**, **Software Engineering, Data Science or a related field.****** * **Fresher or up to 6 months of experience.** * Strong understanding of Databases and SQL, Data structures and basic algorithms * Willingness to work **night shift hours** * Availability to work **on-site twice per week** * Strong analytical and problem-solving skills * Good communication and documentation abilities **Preferred Skills (Nice to Have)** * Experience with: * **Python, SQL** , or similar languages * Data pipelines and workflow tools (e.g., Airflow, dbt, etc.) * Cloud data platforms (AWS, Azure, GCP, Snowflake, etc.
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