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S&P Global Software Engineer, Apprentice 2024/2025/2026 batch apply now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company :
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
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Job Description :
As an Apprentice Data Engineer, you will support the development, optimization, and maintenance of data pipelines, integrations, and cloud‑based data solutions that underpin Energy Horizons’ analytics and engineering platforms. Working within a SAFe Agile environment, you will collaborate closely with data engineers, analysts, data scientists, and cloud platform teams to deliver reliable, high‑quality data services.
This apprenticeship offers hands‑on experience with modern data engineering tools, cloud environments, and best practices—helping build a strong foundation for a future career in data engineering.
Responsibilities & Impact
- Assist in designing, building, and maintaining data ingestion pipelines for structured and unstructured datasets.
- Support the development and optimization of ETL/ELT workflows using modern data engineering frameworks.
- Work with senior engineers to implement data validation, quality checks, and monitoring systems.
- Help integrate and transform data from internal APIs, third‑party sources, and cloud storage systems.
- Contribute to building and maintaining data models, metadata, and documentation.
- Learn to use cloud‑native tools (e.g., Azure, AWS) to support scalable data processing.
- Collaborate with Agile teams to understand business requirements and translate them into data engineering tasks.
- Assist with testing, debugging, and deploying data pipelines in a secure, governed environment.
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Basic Required Qualifications
- Completed a degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
- Good to have exposure (0–6 months) to data engineering, databases, or software development through coursework or projects.
- Basic understanding of data engineering concepts such as ETL, data pipelines, or cloud storage.
- Familiarity with at least one programming language (e.g., Python, SQL, JavaScript, or C#).
- Foundational knowledge of databases, REST APIs, and data modeling concepts.
Soft Skills
- Strong problem‑solving and analytical skills.
- Ability to learn new data technologies quickly.
- Good communication and documentation abilities.
- Team‑oriented mindset with strong collaboration skills.
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