Xiaomi is hiring for a Data Engineer Intern role in India

🧾 Position:

• Data Engineer Intern

🏢 Company:

• Xiaomi India

📍 Location:

• Bengaluru, Karnataka, India

📌 Job type:

• Internship 

💼 Job mode:

• Onsite

🆔 Job requisition id:

• Not specified

🎓 Years of experience:

• 6 Months Internship 

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🏢 Company Description:

• Xiaomi is a global tech giant known for building affordable yet powerful hardware, software, and internet services.

• Founded in 2010 by Lei Jun, Xiaomi has grown to become the world’s third-largest smartphone manufacturer.

• In India, Xiaomi has led the smartphone market for 17 consecutive quarters, offering a diverse product portfolio including smartphones, laptops, TVs, smart wearables, and home appliances.

• The brand follows a philosophy of "Innovation for Everyone" and is committed to offering top-quality products at honest prices.

• Xiaomi operates in more than 100 countries and is the number one smartphone brand in over 54 of them.

• The company ranked #266 in the Fortune Global 500 and has received several accolades including a spot in the "Top 100 Most Valuable Global Brands" by Kantar BrandZ and "50 Most Innovative Companies of 2021" by BCG.

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🧑‍💻 Profile Overview:

• As a Data Engineer Intern at Xiaomi India, you will work on projects that influence decision-making across departments.

• The role emphasizes building and maintaining large-scale data systems that fuel analytics, business intelligence, and AI models.

• You’ll collaborate closely with data engineers and analysts, contributing to the development of scalable data solutions and high-quality data pipelines.

• You will assist in various stages of the data lifecycle including ingestion, transformation, validation, and modeling.

• This internship is an opportunity to get hands-on experience with big data tools and cloud platforms while gaining mentorship in a fast-paced, high-impact environment.

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🎓 Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related disciplines.

• Fresh graduates or students who have recently completed their coursework are eligible to apply.

• Strong coding skills in Python, especially for data scripting and automation.

• Proficiency in SQL with the ability to write complex queries including joins, aggregations, and filters.

• Solid understanding of data modeling concepts such as fact-dimension models, star and snowflake schemas.

• Familiarity with big data tools like Hive, HDFS, and Spark is preferred.

• Exposure to PySpark is a strong advantage.

• Comfortable using Jupyter, VS Code, or other modern development environments.

• Knowledge of cloud ecosystems (AWS, Azure, GCP, or Databricks) is considered a bonus.

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🔍 Key Responsibilities:

• Help design and build scalable data pipelines for analytics and reporting tasks.

• Support data engineers in modeling data for real-time and batch processing use cases.

• Clean and transform raw data using PySpark and other ETL tools.

• Participate in validating data consistency and quality across different layers.

• Work closely with analytics teams to understand reporting needs and implement solutions.

• Use version control tools to manage script revisions and collaborate on shared repositories.

• Operate within Hadoop-based systems to process and query large volumes of data.

• Document processes and develop SOPs for common tasks and scripts.

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🛠️ Technical Skills:

• Proficient in Python, particularly for automation and data processing.

• Strong SQL capabilities for data querying, manipulation, and database interactions.

• Basic understanding of schema design, especially star and snowflake models.

• Familiar with distributed computing platforms like Hadoop, HDFS, and Spark.

• Exposure to PySpark or a willingness to learn quickly.

• Experience working with IDEs like Jupyter Notebook, VS Code, or similar platforms.

• Bonus points for any exposure to cloud environments like AWS, Azure, GCP, or Databricks.

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🧠 Soft Skills:

• A strong desire to learn new technologies and approaches in data engineering.

• Analytical mindset with attention to accuracy and data integrity.

• Good interpersonal skills to work effectively within teams.

• Capable of managing time and tasks independently in a structured way.

• Ability to adapt to fast-paced environments and evolving priorities.

• Open to feedback and comfortable iterating quickly on deliverables.

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ℹ️ Additional Info:

• Internship duration is 6 months, and this is a full-time onsite role based in Bangalore.

• Ideal for freshers or recent graduates who want to start their careers in data engineering.

• Opportunity to work in a product-centric tech environment with real-world impact.

• Direct collaboration with industry professionals in the analytics and engineering space.

• Xiaomi’s data team is involved in strategic business decisions and product insights.

• Interns may gain exposure to consumer tech analytics and product telemetry at scale.

• High visibility projects and potential pathways into full-time roles for high performers.

• Applicants should be prepared to demonstrate coding skills and problem-solving ability in interviews.

Please click here to apply.