A data engineer must possess a mix of technical expertise, analytical thinking, and problem-solving skills to design and manage data efficiently. Below are the most essential skills to look for:
Programming: C#, Java, Ruby, Bash/Unix Scripting, Scala SQL, Python, R
ETL Processes: tools like Apache NiFi, Talend, Informatica, and Airflow
Big Data Frameworks: Apache Spark, Hadoop, Kafka
Database Management: Relational Databases (SQL), NoSQL Databases
Cloud Computing: AWS, Microsoft Azure, Google Cloud
Data Pipeline: tools like Apache Airflow, Luigi, or Prefect
Data Processing: tools like Flink, Spark Streaming, Apache Kafka
Familiarity with Machine Learning and AI.