UnGray Technologies Careers 2024 For Data Engineer Intern, UnGray Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. IF you are interested, Please apply as soon as possible.
Company Name: UnGray
Role: Data Engineer Intern
Location: Bangalore
Experience: Freshers
Qualification: Bachelors/Masters Degree
Batch: Any Batch
Job Type: Full Time
Salary: Best in Industry
UnGray Technologies Careers 2024
Job Description:
We are seeking a proficient Data Engineer to join our dynamic team at Ungray Technologies. As a key member of our data management team, you will play a crucial role in designing, building, and managing our data infrastructure to support our analytics and machine learning initiatives. This role is ideal for someone who is skilled in Python, familiar with Airflow, and has foundational knowledge in both SQL and NoSQL databases.
Requirements:
- 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.
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.
Responsibility:
- 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.
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