Ghost in the data
  • Home
  • About
  • Posts
  • Topics
  • Resources
  • RSS
  • Categories
  • AI Development
  • Analytics Engineering
  • Artificial Intelligence
  • AWS
  • Banking
  • Best Practices
  • Big Data
  • Business Technology
  • Career Development
  • Career Growth
  • Cloud Architecture
  • Cloud Computing
  • Cloud Infrastructure
  • Communication
  • Conflict Resolution
  • Data Architecture
  • Data Culture
  • Data Engineering
  • Data Ethics
  • Data Governance
  • Data Modeling
  • Data Modelling
  • Data Pipelines
  • Data Privacy
  • Data Quality
  • Data Storage
  • Data Warehousing
  • Database Design
  • Dbt
  • Delta-Lake
  • Development
  • Development Tools
  • DevOps
  • Employee Engagement
  • Gaming Servers
  • Google Cloud Platform
  • Hiring
  • Industry Analysis
  • Interviews
  • IT Management
  • Leadership
  • Life Hacks
  • Mindfulness
  • Minecraft
  • Personal
  • Personal Development
  • Personal Finance
  • Pipeline
  • Pipeline Design
  • Productivity
  • Professional Development
  • Professional Growth
  • Promotion
  • Psychology
  • Python
  • Python Tools
  • Setup Guide
  • SQL
  • Stakeholder Management
  • Team Building
  • Team Culture
  • Team Management
  • Technical Architecture
  • Technology Trends
  • Tutorial
  • User Experience
  • Version Control
  • Workplace Dynamics
Hero Image
Your First 90 Days as a Data Engineer: A Strategic Guide

Introduction Landing your first data engineering role—or starting at a new company—is both exhilarating and daunting. After navigating multiple interviews and accepting an offer, you’ve finally arrived at your desk with a new laptop and company swag (if your lucky). Even now, after solving countless problems ranging from minor bugs to enterprise-scale data challenges, I still occasionally feel that flutter of uncertainty in my stomach, when starting a new role. What if I don’t know what I’m doing? What if I make a mistake?

  • Onboarding
  • Professional Growth
  • Team Collaboration
  • Career Advice
  • Data Culture
Sunday, February 23, 2025 Read
Hero Image
Mastering Data Interviews: A Comprehensive Guide

Introduction After nearly two decades in the data engineering field, I’ve sat on both sides of the interview table countless times. Whether you’re a seasoned professional looking to change roles or a newcomer trying to break into the field, the interview process for data engineering positions can be both challenging and mysterious. There’s often uncertainty about what questions you’ll face, what skills you need to demonstrate, and what interviewers are really looking for beneath the surface.

  • Interviews
  • Technical Assessment
  • Career Growth
  • SQL
  • Data Modeling
  • Problem Solving
Saturday, February 22, 2025 Read
Hero Image
Mastering Data Engineering: Insights and Best Practices

Introduction I have been working with Data for a bit over 17 years now, I have seen it evolve from its nascent stages to a cornerstone of the tech industry. The journey has been nothing short of revolutionary, impacting businesses and society at large. The evolution and the role of a data engineer have expanded, requiring not just technical skills, but a deep understanding of business, security, and the human element within technology.

  • Culture
  • Continuous Learning
  • Data Quality
  • Professional Growth
  • Data Pipeline
  • Data System Resilience
  • Team Collaboration
Saturday, March 30, 2024 Read
  • ««
  • «
  • 1
  • 2
  • »
  • »»