Job Description
UnGray Technologies
Data Engineer Intern
Internship
Pune (relocation/Remote Work Available)
Ungray Technologies Private Limited is an unlisted private company incorporated on 17 April, 2023. It is classified as a private limited company and is located in , Maharashtra. It's authorized share capital is INR 1.00 lac and the total paid-up capital is INR 1.00 lac.The current status of Ungray Technologies Private Limited is - Active.
Any Degree
No Expereince Needed
1. Proficient in Python programming specifically for data applications.
2. Experience with workflow management tools like Apache Airflow.
3. Solid understanding of SQL and familiarity with NoSQL databases such as MongoDB, Cassandra, etc.
4. Basic proficiency with Git for version control.
Understanding of Docker and its application in development environments.
5. Experience with big data tools (e.g., Spark, Hadoop) is a plus.
6. Basic knowledge of machine learning methodologies is advantageous.
7. Strong analytical skills and ability to work independently as well as collaboratively within a team.
1. Design, construct, install, test, and maintain highly scalable data management systems.
2.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.
3.Work closely with business and technology stakeholders to translate data needs into data systems and pipelines.
4. Ensure data integrity and consistency by implementing robust testing frameworks.
5. Maintain a basic understanding and implementation of Git for version control.
6. Utilize Docker for containerizing applications and ensuring a consistent environment for development and deployment.
7. Optimize and improve existing systems with innovative data tools and technologies.
8. Collaborate with data scientists and analysts to support machine learning projects and to enhance data collection strategies that leverage relevant data.
9. 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.
