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Develop and maintain ETL pipelines using Databricks and PySpark while supporting data ingestion from various sources. Collaborate with senior engineers to perform data transformation and validation within the Medallion Architecture framework.
This is a remote position.
1–3 years of experience in Data Engineering.
Good knowledge of SQL and basic PySpark scripting.
Understanding of Databricks notebooks and cloud storage.
Familiarity with ETL pipelines and data ingestion.
Basic understanding of Medallion Architecture (Bronze, Silver, Gold).
Knowledge of Python and data processing concepts.
Good analytical and problem-solving skills.
Develop and maintain basic ETL pipelines using Databricks and PySpark.
Support data ingestion from various sources into Databricks.
Work with Databricks notebooks for data transformation and processing.
Assist in implementing Medallion Architecture (Bronze, Silver, Gold).
Perform basic data validation and troubleshooting.
Collaborate with senior data engineers to support data engineering projects.
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