Data Engineer

Data engineers are responsible for collecting, integrating, storing, and managing data from various sources. This includes designing and implementing efficient data pipelines, choosing appropriate databases, optimizing data quality, and working with big data technologies and cloud computing. ETL is a fundamental process, and noSQL databases are increasingly important.

Requirements

• Design and implement efficient data pipelines
• Choose appropriate database systems
• Optimize data schemas
• Ensure data quality and integrity
• Handle large volumes of data
• Manage big data technologies (Hadoop, Spark)
• Work with NoSQL databases (MongoDB, Cassandra)
• Leverage cloud platforms (AWS, Azure, Google Cloud)
• Understand distributed systems architecture