We are looking for a motivated Data Engineer Intern with a foundational understanding of Power BI SQL Python and data concepts. The ideal candidate is eager to learn how to design build and optimize end-to-end data solutions contribute to solving real-world data challenges and support data-driven decision-making across the organization.
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.
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.
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.
Support in monitoring and optimizing dashboard performance and data pipelines.
Assist in troubleshooting data-related issues under supervision ensuring reliability and accuracy.
Learn how to create impactful dashboards and visual reports that communicate insights effectively.
Contribute to developing clear data narratives that support business decisions.
Participate in brainstorming sessions to design proof-of-concepts (POCs) and dashboards aligned with business requirements.
Assist in documenting solution approaches and data workflows.
Pursuing or recently completed a Bachelors or Masters 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.
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.
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.
Required Skills:
hivebig datadata transformationpythonsqlpysparketldax studiohadoopdata modelingspark streamingpower querydaxpower bidata storytellingtabular editor