In-office
1 Openings
Starting on 18th September
Job Description
- We are seeking a proactive and driven Software Engineer/Data Engineer Intern to join our team. In this role, you will have the exciting opportunity to work on a critical project involving the migration of our technology stack from AWS, MongoDB, and Spark to Snowflake and dbt.
- 1. Migration Planning: Collaborate with the engineering team to plan and strategize the migration process, ensuring minimal disruption to ongoing operations.
- 2. ETL Development: Develop Extract, Transform, Load (ETL) processes using dbt to enable efficient data processing and analytics.
- 3. Testing and Quality Assurance: Conduct thorough testing and quality assurance of the migrated stack to identify and address any issues.
Candidate Preference
- Currently pursuing a degree in Computer Science, Data Engineering, or a related field. - Proficiency in programming languages such as Python, Java, or Scala. - Knowledge of databases like MongoDB, Snowflake, and Spark is a plus. - Willingness to learn and adapt to new technologies. What We Offer: - Exposure to cutting-edge technologies in the data and analytics space. - Opportunity to work closely with experienced data engineers and software developers.
Job Overview
Date Posted:
Posted 20 days ago
Location:
Bhubaneswar
Stipend:
INR 10,000 /month
Job Category
Technology
Job Skills
Python
Snow Flake
AWS
Internship
20 days ago
Software Engineer/Data Engineer Intern
TopCropBhubaneswar
10,000 /month
247 applicants
Technology
Skills
Python
Snow Flake
AWS
In-office
1 Openings
Starting on 18th September
Job Description
- We are seeking a proactive and driven Software Engineer/Data Engineer Intern to join our team. In this role, you will have the exciting opportunity to work on a critical project involving the migration of our technology stack from AWS, MongoDB, and Spark to Snowflake and dbt.
- 1. Migration Planning: Collaborate with the engineering team to plan and strategize the migration process, ensuring minimal disruption to ongoing operations.
- 2. ETL Development: Develop Extract, Transform, Load (ETL) processes using dbt to enable efficient data processing and analytics.
- 3. Testing and Quality Assurance: Conduct thorough testing and quality assurance of the migrated stack to identify and address any issues.
Candidate Preferences:
- Currently pursuing a degree in Computer Science, Data Engineering, or a related field. - Proficiency in programming languages such as Python, Java, or Scala. - Knowledge of databases like MongoDB, Snowflake, and Spark is a plus. - Willingness to learn and adapt to new technologies. What We Offer: - Exposure to cutting-edge technologies in the data and analytics space. - Opportunity to work closely with experienced data engineers and software developers.