The Scholar
Data Engineer ( Python , Snowflake )
Skills
1 year ago
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Important information
Contract type:
Permanent
Location:
Delhi, India
Work mode:
Onsite
Published on:
15 October 2026
What they need
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 efficient 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.
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