Remove 2026 Remove Cloud Computing Remove Data Pipeline
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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. They are crucial in ensuring data is readily available for analysis and reporting.

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Ask HN: Who is hiring? (July 2025)

Hacker News

Designing AI data pipelines to process billions of data points. Our tech stack is built on NodeJS and Typescript along with a wide variety of GCP products including Firebase, Firestore, Bigtable, Bigquery, Redis, Cloud Run, Vertex AI. We’re backed by leading investors including 1984, Scrum Ventures, and Tau Ventures.

Python 90
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Top Technical Skills You Must Have as a Developer in 2025

Flipboard

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Next Steps: Transition into data engineering (PySpark, ETL) or machine learning (TensorFlow, PyTorch). MySQL, PostgreSQL) and non-relational (e.g.,

Python 56