Cloud Counselage Internship 2024: Cloud Counselage Internship 2024 for its Data Engineer Intern. Cloud Counselage Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Pursuing a bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field. if you are interested, please apply as soon as possible.
Company Name: Cloud Counselage
Role: Data Engineer Intern
Location: Mumbai
Experience: Freshers
Qualification: Pursuing a bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Cloud Counselage Internship 2024
Job Description:
- We are seeking a highly motivated Data Engineer Intern to join our dynamic team.
- This internship offers a unique opportunity to gain hands-on experience in a fast-paced environment while working on meaningful projects that have a real impact on our business.
Requirements:
- Pursuing a bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong programming skills in languages such as Python, SQL, or Java.
- Familiarity with data manipulation and transformation tools (e.g., Pandas, Apache Spark).
- Knowledge of database technologies (e.g., SQL databases, NoSQL databases, data warehouses).
- Understanding of ETL processes and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Ability to work effectively both independently and as part of a team.
- Prior internship or project experience in data engineering or related fields is a plus.
Responsibility:
- Data Collection and Integration: Collaborate with cross-functional teams to identify data sources, collect raw data, and integrate it into our data infrastructure.
- Data Cleaning and Transformation: Perform data cleaning and transformation tasks to ensure data quality and consistency.
- Database Management: Assist in the design, development, and maintenance of databases to support data storage and retrieval needs.
- Data Modeling: Work with senior data engineers to design and implement data models that align with business requirements.
- ETL (Extract, Transform, Load) Processes: Develop and optimize ETL processes to extract data from various sources, transform it into usable formats, and load it into data warehouses or other storage systems.
- Data Visualization: Collaborate with analysts and data scientists to visualize data and create insightful reports and dashboards.
- Documentation: Document data engineering processes, workflows, and best practices for future reference.
- Technical Support: Provide technical support and troubleshooting assistance to internal stakeholders as needed.
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