Data Engineer Intern

About The Role

Data Engineer Intern

Key Responsibilities

Data Modelling & Visualization

• Assist in building scalable and high-quality data models in Power BI under the guidance of senior team members.
• Support defining relationships, hierarchies, and measures for effective data storytelling.
• Help ensure dashboards meet standards in accuracy, visualization principles, and timelines.
  

Data Transformation & ETL

• Learn and perform data transformation using Power Query (M Language) and SQL.
• Support the design and optimization of ETL pipelines using Python and other relevant tools.
• Work with large datasets from different sources to clean, prepare, and process data.
  

Business Problem Translation

• Collaborate with cross-functional teams to understand business requirements and assist in converting them into data solutions.
• Help identify relevant datasets and contribute to data validation activities.
  

Performance & Troubleshooting

• Support in monitoring and optimizing dashboard performance and data pipelines.
• Assist in troubleshooting data-related issues under supervision, ensuring reliability and accuracy.
  

Analytical Storytelling

• Learn how to create impactful dashboards and visual reports that communicate insights effectively.
• Contribute to developing clear data narratives that support business decisions.
  

Solution Design

• Participate in brainstorming sessions to design proof-of-concepts (POCs) and dashboards aligned with business requirements.
• Assist in documenting solution approaches and data workflows.
  

Required Skills & Qualifications

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Basic knowledge of Power BI, including DAX and Power Query (M Language).
• Working understanding of Python and SQL for data manipulation and automation.
• Strong analytical and problem-solving mindset with attention to detail.
• Eagerness to learn data visualization best practices and performance optimization.
• Good communication skills and ability to collaborate with cross-functional teams.
  

Preferred (Good To Have)

• Familiarity with Big Data concepts or tools such as:
• PySpark
• Hadoop / Hive / HDFS
• Spark Streaming (optional but a plus)
• Exposure to tools like DAX Studio or Tabular Editor.
  

Why Join Us?

• Work closely with a passionate and experienced data team.
• Hands-on exposure to modern data tools and real business datasets.
• Learn how data drives decisions across functions.
• Open, collaborative, and growth-oriented work culture.
• Opportunity to convert to a full-time role based on performance.
  

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