Remove 2025 Remove Data Modeling Remove Data Pipeline
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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Ask HN: Who is hiring? (July 2025)

Hacker News

July 2025) 185 points by whoishiring 10 hours ago | hide | past | favorite | 215 comments Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option. Designing AI data pipelines to process billions of data points.

Python 87
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Ask HN: Who wants to be hired? (July 2025)

Hacker News

July 2025) 67 points by whoishiring 10 hours ago | hide | past | favorite | 170 comments Share your information if you are looking for work. Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers.

Python 63
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Gen AI Trends and Scaling Strategies for 2025

Iguazio

Data Management, Security, and Governance Automating, scaling, versioning and productizing data pipelines Ensuring data security, lineage and risk controls Adding application security Adding real-time guardrails and hallucination protection 2. Whats Next in 2025?

AI 59
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Data Scientists in the Age of AI Agents and AutoML

Towards AI

Last Updated on January 22, 2025 by Editorial Team Author(s): Edoardo De Nigris Originally published on Towards AI. In this article i will give my 2 cents on what I think its useful to focus on to be a strong candidate from 2025 onward. Coding skills remain important, but the real value of data scientists today is shifting.

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Spark AI (YC W24) is hiring a full-stack engineer in SF (founding team)

Hacker News

What You’ll Do 💪 Work directly with the founders, customers, and users to rapidly prototype, test, and ship features Design and ship AI-driven features like agentic web browsing, retrieval-augmented generation (RAG), and large-scale data extraction.

AI 74