Data Engineer Intern
2 weeks ago
**Responsibilities**:
- Collaborate with the data engineering team to design and develop scalable and efficient data pipelines.
- Assist in the integration and extraction of data from various sources, including databases, APIs, and external systems.
- Cleanse, transform, and validate raw data to ensure its quality and integrity.
- Assist in the development and maintenance of data models, data dictionaries, and data flow diagrams.
- Participate in the development and implementation of data storage solutions and data warehousing architectures.
- Support the deployment and monitoring of data pipelines and workflows.
- Assist in the optimisation of data processing and storage systems for improved performance and scalability.
- Work closely with data scientists and analysts to understand their data requirements and provide the necessary infrastructure and tools.
- Collaborate with cross-functional teams to gather and document data engineering requirements.
- Stay updated with the latest trends and best practices in data engineering and contribute to process improvements.
**Requirements**:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
- Strong understanding of data engineering concepts, data structures, and algorithms.
- Proficiency in at least one programming language commonly used in data engineering, such as Python, Java, or Scala.
- Familiarity with SQL and experience in working with relational databases (e.g., PostgreSQL, MySQL, etc.).
- Basic knowledge of big data technologies and frameworks, such as Apache Hadoop, Spark, or Kafka.
- Understanding of data modelling concepts and experience with data modelling tools.
- Familiarity with data integration and ETL processes.
- Strong problem-solving and analytical skills, with attention to detail.
- Excellent communication and teamwork skills.
- Self-motivated with the ability to work independently and manage tasks effectively.
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