You're transitioning to a data engineering team. How can you prove your value in this new role?
Transitioning to a data engineering team can be an exciting move in your career, offering new challenges and opportunities to grow your skill set. As you step into this role, it's important to understand that data engineering is the backbone of data analytics, focusing on the practical application of data collection, storage, and retrieval. To prove your value, you must demonstrate not only technical expertise but also the ability to collaborate effectively and contribute to the team's goals. Your goal is to ensure that data flows smoothly from its source to where analysts and business users can derive insights, which requires a blend of software engineering, database management, and a solid understanding of data pipelines.
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Makarand P BatchuData Scientist at ASCEND | University of Leeds | MSc Data Science and Analytics | Ex-Deloitte | 2x Microsoft Azure…
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Nicholas OgadaData & ML Engineer at Incentro | Google Cloud Consultant | Cloud Architect
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Shiv BhadouriaImmediate Joiner | Data Engineer | Azure | MySQL | Spark | Python | CI/CD | AWS | Kafka | Airflow | 2x Azure Data…