Data Engineers design, build, and manage the infrastructure required for data storage, processing, and analysis. They work with large datasets, create data pipelines, and ensure data quality. Key skills include proficiency in SQL, Python, ETL tools, and cloud platforms like AWS, Azure, or Google Cloud. Data Engineers are crucial for making data accessible and usable for data scientists and business analysts.

• Skills Required: SQL, Python, ETL tools (e.g., Apache Spark, Apache Kafka), Cloud platforms (AWS, Azure, GCP), Data warehousing solutions.
• Job Outlook: High demand due to the increasing volume of data and the need for efficient data management.