To transition to a Data Engineer role, a Python Developer should acquire skills in databases (SQL, NoSQL), ETL processes, big data technologies (Hadoop, Spark), data pipelines, cloud platforms (AWS, Azure), data quality, version control (Git), containerization (Docker), streaming data (Kafka), and automation (Airflow). These skills enable efficient management, processing, and movement of data within complex systems.
If you are interested in getting into this field, then check out this video about Khwahish Gupta and how she made a career switch from a Python Developer to a Data Engineer at Voice with a 70% salary hike just after completing Intellipaat's Advanced Certification in Data Science and AI.
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