electronic-arts
Data Engineering Intern
Electronic Arts is hiring a Data and AI Engineering Intern for its Data and Analytics team in Hyderabad. The internship focuses on using Generative AI and agentic engineering techniques alongside modern data engineering and analytics practices. The intern will work with Python, SQL, LLMs, and cloud data technologies to develop data solutions, pipelines, AI prototypes, validation processes, and automation capabilities. The role is suited to students pursuing a relevant bachelor’s degree who have strong programming and SQL fundamentals and an interest in data engineering and Generative AI.
Location
Hyderabad, Telangana, India
Experience
0-2 years
Salary
according to company standards
Job Type
Full-time
Work Mode
On Site
Posted
12 Sept 2026
Responsibilities
- • Develop Python and SQL-based solutions for data ingestion, transformation, validation, and analysis.
- • Create prototypes using LLMs, prompt engineering, RAG, embeddings, vector search, tool calling, and agentic workflows.
- • Support the development of scalable ETL/ELT pipelines, data models, APIs, and reusable data products.
- • Apply software testing, data quality, security, governance, and responsible AI practices.
- • Work with technical and business teams on data and AI initiatives.
- • Present project findings, prototypes, and recommendations to relevant stakeholders.
Requirements
- • Pursuing a bachelor’s degree in Data Science, Artificial Intelligence, Engineering, or a related discipline.
- • Strong foundation in Python and SQL.
- • Good programming and problem-solving abilities.
- • Basic knowledge of databases, data pipelines, APIs, and Generative AI.
- • Familiarity with Git and collaborative software development.
- • Knowledge of LLMs, prompt engineering, RAG, embeddings, vector search, or agentic workflows is relevant to the internship.
- • Exposure to Snowflake, Databricks, Spark, dbt, Airflow, LangChain, LangGraph, Streamlit, cloud platforms, or vector databases is preferred.
- • Machine Learning experience using scikit-learn, PyTorch, or TensorFlow is an additional advantage.
Skills
PythonSQLProgrammingProblem SolvingDatabasesData PipelinesAPIsGenerative AIGitLarge Language ModelsPrompt EngineeringRetrieval-Augmented GenerationEmbeddingsVector SearchAgentic Workflows
Eligibility
- • Pursuing a bachelor’s degree in Data Science, Artificial Intelligence, Engineering, or a related field.
- • Strong knowledge of Python, SQL, programming fundamentals, and problem solving is required.
- • Basic understanding of databases, data pipelines, APIs, and Generative AI is required.
- • Familiarity with Git and collaborative software development is required.
- • Prior professional experience is not specified.
- • Graduation year is not specified.
- • Freshers eligibility is not explicitly confirmed in the job description.
- • Additional exposure to technologies such as Snowflake, Databricks, Spark, dbt, Airflow, LangChain, LangGraph, Streamlit, cloud platforms, or vector databases is advantageous.
- • Machine Learning experience with tools such as scikit-learn, PyTorch, or TensorFlow is an additional advantage.
How to Apply
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