Job highlights

- Experience in building and managing data pipelines and ETLs
- Develop and maintain data pipelines using Python to ensure data is properly accessible.
- Utilize Snowflake for effective data storage and retrieval.
- Leverage Big Query to handle large datasets and perform complex queries.
- Implement and manage ETL processes to land data from various third-party analytics providers.
- Use DBT for data transformation to prepare data for analysis and reporting.
- Automate workflows with Airflow to streamline data processes.
- Design and build intuitive Looker dashboards to visualize data and support decision-making.

Experience :

- 3 -6 yr

Pre Requisite :

- Proficiency in Python for data engineering tasks.
- Strong expertise in Snowflake, Big Query, DBT, Airflow, and Looker.
- Experience in building and managing data pipelines and ETLs.
- Solid understanding of data observability and accessibility.
- Ability to create insightful data visualizations using Looker.

📌 Data Engineer ( Python , Snowflake ) (New Delhi)
🏢 The Scholar
📍 New Delhi