About the role
Delhivery is hiring Data Engineering Interns in Noida. The role involves assisting with the design, development, and maintenance of data pipelines and ETL workflows. Interns will work with large datas… Subscribe to Premium to view the full description and apply.
Responsibilities
- Assist in designing, developing, and maintaining data pipelines and ETL workflows.
- Work with large datasets to clean, transform, and process data efficiently.
- Support data integration into data warehouses and databases.
- Write and optimize SQL queries for data extraction and analysis.
- Monitor data pipelines and troubleshoot data quality or processing issues.
Requirements
- Pursuing or recently completed a degree in Computer Science, IT, Data Science, or a related field.
- Strong understanding of SQL and relational databases.
- Basic knowledge of Python and data processing libraries.
- Understanding of ETL/ELT concepts.
- Familiarity with databases, data warehouses, or cloud platforms is a plus.
Benefits
- Hands-on experience with data pipelines and ETL workflows.
- Exposure to large-scale data processing.
- Experience with data warehouses and databases.
- Practical SQL and data analysis experience.
- Exposure to data quality monitoring and troubleshooting.
Required Skills
Frequently Asked Questions
What is the salary for Data Engineering Intern?
The listed salary for Data Engineering Intern at Delhivery is ₹30,000/month.
Where is this Data Engineering Intern role located?
This position is based in Noida, India (On-site).
What experience is required for Data Engineering Intern?
Candidates are expected to have Fresher of experience for this role.
How do I apply for Data Engineering Intern at Delhivery?
Use the Apply button on this HireDoor job page to submit your application for Data Engineering Intern at Delhivery.
What are the key benefits for Data Engineering Intern?
Key benefits include: Hands-on experience with data pipelines and ETL workflows.; Exposure to large-scale data processing.; Experience with data warehouses and databases.; Practical SQL and data analysis experience.; Exposure to data quality monitoring and troubleshooting..
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