Millennium IT ESP
Intern – Data Science
Job Description
Job Description
- Data Pipeline Development: Design, develop, and maintain scalable data pipelines and architectures for collecting, processing, and analyzing large data sets.
- Data Integration: Integrate data from various internal and external sources, ensuring data consistency, reliability, and accuracy.
- BI Solutions Development: Design, develop, and maintain business intelligence solutions, including dashboards, reports, and data visualizations.
- Data Modeling: Create and maintain data models to support reporting and analytics needs.
- Documentation: Create and maintain detailed documentation for data pipelines, data models, and ETL processes.
Person Specification
- Currently pursuing a bachelors degree in data science or a related field.
- Basic knowledge of SQL and relational databases.
- Exposure to programming languages such as Python, Java, or Scala.
- Understanding of data warehousing concepts and ETL processes.
- Familiarity with cloud platforms, especially Azure (or AWS, Google Cloud) and their data services is a plus.
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Experience with data visualization tools, especially Power BI is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Eagerness to learn and adapt to new technologies and tools.
- Ability to work in a fast-paced, dynamic environment and manage multiple tasks effectively.