Remove Apache Hadoop Remove Computer Science Remove Data Modeling
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Big data engineer

Dataconomy

Programming and data processing skills A solid grasp of programming languages such as C, C++, Java, and Python is crucial, alongside experience in creating data pipelines and utilizing data transformation tools.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Model Development and Validation: Building machine learning models tailored to business problems such as customer churn prediction, fraud detection, or demand forecasting. Validation techniques ensure models perform well on unseen data. Data Manipulation: Pandas, NumPy, dplyr. Big Data: Apache Hadoop, Apache Spark.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Skills and Tools of Data Engineers Data Engineering requires a unique set of skills, including: Database Management: SQL, NoSQL, NewSQL, etc. Data Warehousing: Amazon Redshift, Google BigQuery, etc. ETL Tools: Apache NiFi, Talend, etc. Data Modeling: Entity-Relationship (ER) diagrams, data normalization, etc.