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towardsdatascience.com /3 weeks ago

Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable

A practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development. The post Your First Task as a Data Engineer in a New Company...

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simplilearn.com /3 weeks ago

Top 10 Data Engineering Projects | Simplilearn

Data engineering projects are complex and require careful planning and collaboration between teams. To ensure the best results, it's essential to have clear goals and a thorough un...

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databricks.com /3 weeks ago

Data Engineering for AI: A Practical Guide for Data Professionals

Data engineering is the foundational backbone of artificial intelligence systems....

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snowflake.com /1 month ago

Navigating AI Shifts in Modern Data Engineering

Discover how modern data engineering is shifting to meet AI demands. Learn to build resilient, declarative data pipelines and scale with coding agents.

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simplilearn.com /3 weeks ago

Data Engineer Skills: Roles and Resposibilities | Simplilearn

Over time, there has been a significant transformation in the realm of data and its associated domains. Initially, the emphasis was primarily on extracting valuable insights. Howev...

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databricks.com /3 weeks ago

Building a SQL ETL Pipeline: The Complete Guide for Data Engineers

An SQL ETL pipeline is one of the most foundational components in any modern analytics stack...

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dzone.com /1 month ago

Using LLMs to Automate Data Cleaning and Transformation Pipelines

A new paradigm, not a replacement of data engineering, but a fundamental shift in where engineering effort concentrates. If you were to ask a data engineer about their week, I am s...

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dzone.com /1 month ago

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...

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snowflake.com /1 month ago

AI Data Engineering: New Smart Pipelines in Snowflake

Discover new AI tools for data engineering announced at Snowflake Summit 2026. Learn how Snowflake CoCo and smart pipelines accelerate your workflows.

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dataquest.io /1 month ago

Best Data Engineering Courses in 2026

Finding the best data engineering course depends on your experience level, learning style, budget, and career goals. In this guide, we've reviewed 10 of the top data engineering co...

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towardsdatascience.com /1 month ago

I Thought Data Engineering Was Just Writing Scripts. I Was Wrong.

I tried to make my ETL pipeline production-ready. Three things broke. Each one taught me something scripting alone never could. The post I Thought Data Engineering Was Just Writing...

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databricks.com /3 weeks ago

How Daikin Applied Americas builds consistent data pipelines at scale with Genie Code

Agentic data engineering is changing how pipelines are builtDaikin Applied Americas...

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dataengineeringweekly.com /1 week ago

Announcing leetdata.ai — A Practice Ground for Data Engineers

Software engineers got a gym. Data engineers got production. It's time to fix that.

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dataengineeringcentral.substack.com /1 month ago

How Real Data Engineers Think (Beyond Tools and Hype)

with — Yordan Ivanov

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databricks.com /2 weeks ago

A Decision Framework for ETL Migration to Databricks

Your team has hundreds of stored procedures, a couple of schedulers, permissions...

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simplilearn.com /3 weeks ago

Everything You Need to Know About ETL (Extract, Transform & Load) | Simplilearn

Data rules the world. No industry or sector is untouched by the power of data. No wonder then that data professionals such as data warehouse architects are some of the most sought-...

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luantorrestech.medium.com /2 weeks ago

What Happens When an Experienced Data Engineer Starts Learning Machine Learning?

After spending the last few years building data pipelines with Python and Spark, I realized there was one area of the data ecosystem I had…Continue reading on Medium »

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databricks.com /3 weeks ago

Data Pipeline Best Practices: Architecture, Modern Pipelines, and Deployment

Purpose and Core ComponentsA data pipeline is the automated system that moves raw data from source systems...

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dzone.com /5 days ago

Top 10 Best Places to Prepare for Your Next Data Engineer Interview

Landing a data engineering role means clearing a gauntlet that no other software discipline has to face all at once: airtight SQL, production-grade Python, data modeling instincts,...

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medium.com /3 weeks ago

Apache Spark | Structured Data

The data (r)evolution started with structured data, most strategic decisions and dashboards rely on it. Long before databases and…Continue reading on Medium »

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dataengineeringweekly.com /2 weeks ago

Data Engineering Weekly #276

The Weekly Data Engineering Newsletter

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towardsdatascience.com /5 days ago

I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer

Building a production-ready RSS pipeline with Python, Docker, PostgreSQL, and Kestra The post I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer app...

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javacodegeeks.com /3 weeks ago

Data Processing in GCP With Apache Airflow and BigQuery

Modern data engineering rarely lives on a single machine. As datasets grow from gigabytes into terabytes — and sometimes into petabytes — teams need orchestration tools that can sc...

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dataengineeringweekly.com /1 month ago

Data Engineering Weekly #274

The Weekly Data Engineering Newsletter

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