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An analysis of 100 Fortune 500 job postings reveals the tools and technologies shaping the data engineering field in 2025. Top skills in demand:
⁕ Programming Languages (196) - SQL (85), Python (76), Scala (14), Java (14)
⁕ ETL and Data Pipeline (136) - ETL (65), Data Integration (46)
⁕ Cloud Platforms (85) - AWS (45), GCP (26), Azure (14)
⁕ Data Modeling and Warehousing (83) - Data Modeling (40), Data Warehousing (22), Data Architecture (21)
⁕ Big Data Tools (67) - Spark (40), Big Data Tools (19), Hadoop (8)
⁕ DevOps, Version Control, and CI/CD (52) - Git (14), CI/CD (13), DevOps (7), Version Control (6), Terraform (6)
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#DataEngineering #BigData #SQL #Python #ETL #AWS #CloudComputing #Spark #DataModeling #DataWarehouse #DevOps #DataGovernance #DataVisualization #MachineLearning #API #Scala #Java #GCP #Azure #Hadoop #Git #CICD #Terraform #DataQuality #Tableau #PowerBI #Collaboration #Microservices #MLOps #TechSkills

https://www.reddit.com/r/dataengineering/comments/1hz5ytw/become_a_data_engineer_in_2025_based_on_100_jobs/?utm_source=perplexity&rdt=54709