Big Data Engineering Intern
Job Description
Position: Remote Big Data Engineering Intern
Company: QuantumWave Dynamics
Location: Remote
Key Responsibilities:
- Assist in the design and development of big data solutions to process and analyze large datasets efficiently.
- Collaborate with data scientists and analysts to understand data requirements and support data pipeline development.
- Work with big data technologies such as Hadoop, Spark, and Kafka to build scalable data processing frameworks.
- Help in the extraction, transformation, and loading (ETL) of data from various sources into data warehouses or data lakes.
- Conduct data quality checks and ensure the integrity and accuracy of data used in analytics.
- Participate in the optimization of data storage and retrieval processes to improve performance.
- Document processes, workflows, and best practices for data engineering tasks.
Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Data Science, or a related field.
- Basic understanding of big data technologies and frameworks, such as Hadoop and Apache Spark.
- Familiarity with programming languages such as Python, Java, or Scala for data processing.
- Knowledge of SQL and experience with database management systems (e.g., MySQL, PostgreSQL).
- Strong analytical skills and problem-solving abilities with attention to detail.
- Ability to work collaboratively in a remote team environment and communicate effectively.
- A passion for data and a desire to learn about big data engineering practices.
Benefits:
- Hands-on experience in big data engineering with exposure to real-world data challenges and solutions.
- Opportunity to work with industry-leading technologies and tools in a dynamic environment.
- Mentorship and guidance from experienced professionals in data engineering and analytics.
- Flexible remote work arrangement with a focus on learning and development.
- Networking opportunities within the data science and engineering community.
- Potential for a full-time position or extended collaboration based on performance.
