Preferred Skills for the Data Engineer Intern Job Opening at UnGray:

• Proven experience as a Data Engineer, Data Scientist, or similar role.
• Proficient in Python programming specifically for data applications.
• Experience with workflow management tools like Apache Airflow.
• Solid understanding of SQL and familiarity with NoSQL databases such as MongoDB, Cassandra, etc.
• Basic proficiency with Git for version control.
• Understanding of Docker and its application in development environments.
• Experience with big data tools (e.g., Spark, Hadoop) is a plus.
• Basic knowledge of machine learning methodologies is advantageous.
• Strong analytical skills and ability to work independently as well as collaboratively within a team.

Responsibilities:

• Design, construct, install, test, and maintain highly scalable data management systems.
• Develop high-quality data pipelines using Python and Airflow to ensure optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Work closely with business and technology stakeholders to translate data needs into data systems and pipelines.
• Ensure data integrity and consistency by implementing robust testing frameworks.
• Maintain a basic understanding and implementation of Git for version control.
• Utilize Docker for containerizing applications and ensuring a consistent environment for development and deployment.
• Optimize and improve existing systems with innovative data tools and technologies.
• Collaborate with data scientists and analysts to support machine learning projects and to enhance data collection strategies that leverage relevant data.
• Maintain knowledge of trends and developments in big data technologies such as Spark, Hadoop, and others.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• A collaborative and innovative work environment where your ideas and contributions are valued.
• Access to the latest tools and technologies.
• Flexible work arrangements to accommodate work-life balance.