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Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. billion in 2024 , is expected to reach $325.01
Handling Missing Data: Imputing missing values or applying suitable techniques like mean substitution or predictive modelling. Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation.
dustanbower 7 minutes ago | next [–] Location: Virginia, United States Remote: Yes (have worked exclusively remotely for past 14 years) Willing to relocate: No I've been doing backend work for the past 14 years, with Python, Django, and Django REST Framework. Interested in Python work or full-stack with Python.
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