01Key Responsibilities
1. Work closely with senior data engineers and architects to build and maintain data pipelines using modern tools like Snowflake, dbt, and Airflow
2. Write and optimize SQL queries for data transformation, validation, and analysis
3. Assist in developing and managing ETL/ELT workflows to move and process data from multiple sources
4. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions
5. Support in data modeling and warehouse design for scalable analytics
6. Monitor pipelines and troubleshoot data issues to ensure data quality and reliability
7. Gain hands-on experience with cloud platforms (AWS/Azure) for deploying and managing data solutions
Who can apply:
Only those candidates can apply who:
are Computer Science Engineering students
Salary:
2,52,000 - 4,20,000 /year
Experience:
No experience required
Deadline:
2026-09-16 23:59:59
Other perks:
Informal dress code, 5 days a week
Skills required:
Python, SQL and Effective Communication
Other
02Requirements
1. Strong foundation in SQL and Python - must be comfortable writing queries & scripts.2. Excellent communication skills we work with global teams, and clarity is key.
About Company:
We are a data management company implementing & managing mission-critical data systems across the globe in a myriad of business domains, helping companies do more with their data. We are a team of specialized people with 6 employees currently working on data projects. This includes database administration, data analysis, data engineering, and cloud business intelligence. .
