We are looking for a skilled Data Engineer with experience in building and maintaining scalable data pipelines. The ideal candidate should have solid experience in Snowflake, DBT, PySpark, SQL, and AWS along with knowledge of up-to-date data architecture.
Key Responsibilities
Design, develop, and maintain data pipelines for processing large datasets.
Work with Snowflake for data warehousing and analytics.
Build and manage data transformation workflows using DBT.
Develop and optimize data processing using PySpark.
Write productive and complex queries using SQL.
Work with AWS services for data storage and processing.
Use orchestration tools like Oozie and work with table formats such as Iceberg.
Ensure data quality, reliability, and performance of pipelines.
Collaborate with analytics and engineering teams for data requirements.