Navigating your first 90 days in data engineering
Clear probation & build a successful career! This guide provides essential strategies & insights for a smooth transition and future growth.
Course Content
Navigating your first 90 days in data engineering is a beginner-level Udemy course taught by Ruvi Raghavan. It runs 1h 49m, is taught in English, and includes a certificate of completion. Learners rate it 5.0 out of 5 from 5 reviews, with 33 students enrolled. It is a paid course, first published February 2024.
Navigating Your First 90 Days in Data Engineering: A Comprehensive Guide
Are you starting a new data engineering role or seeking your first data position? This course, crafted by Ruvi Raghavan – a seasoned hiring manager with over a decade of experience in the data space – provides invaluable strategies for a smooth and successful transition. Learn how to excel during your crucial first 90 days in data engineering.
This guide unveils the secrets to strategic planning, avoiding common pitfalls, and making a strong first impression. Whether you're a new hire or a new data engineer looking to optimize your onboarding, this course is for you. New data engineering managers will also find valuable insights to set their team up for success.
Here's what you'll learn:
- Effective 90-Day Onboarding: Master the art of navigating your first 90 days as a data engineer.
- Feedback & Support: Overcome doubts about feedback and learn how to strategically seek help.
- Alignment & Expectations: Observe, ask insightful questions, and ensure you're aligned with your hiring manager's expectations.
- Confidence & Culture: Gain confidence in your core data engineering responsibilities while seamlessly embracing the organizational culture.
The course is structured around 9 key objectives, guiding you through three essential phases: Learning, Contribution, and Autonomy. Use the included checklist and questionnaires to track your progress and personalize your learning journey.
This course focuses on mastering the essential soft skills crucial for success in the dynamic field of data engineering. Get ready to set the stage for a thriving career!
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