With the emergence of this field, data engineering skills have also emerged. Some of the most in-demand skills for data engineers in Europe include:
a. Cloud Platforms: Experience in using cloud platforms such as AWS, GCP, and Microsoft Azure is highly valued. With an increasing number of companies migrating to the cloud, data engineers should be able to design, implement, and maintain cloud-based data solutions.
b. Big Data Technologies: Big data technologies like Hadoop, Spark, and Kafka are in demand. These tools are being utilized to process and analyze huge quantities of data. Expertise in these technologies can significantly a data engineer’s career.
c. Programming Languages: Python, Java, and Scala are the most prominent among all programming languages for data engineers. Especially Python, with its enhanced ability to handle large sets of tasks and vast libraries that contribute to data manipulation and analysis, is in demand.
d. Data Warehousing: Knowledge of various data warehousing solutions using Snowflake, Redshift, and BigQuery is crucial. A data engineer is responsible for designing and managing data warehouses, which store and process enormous amounts of information.
e. SQL and NoSQL Databases: Proficiency in SQL is a basic requirement in this field, and knowledge of NoSQL databases like MongoDB and Cassandra is gaining more significance as companies try to manage unstructured data.
f. Automation of Data Pipelines: Efficiency in data engineering can only be achieved through automation. Common usage involves tools such as Apache Airflow, Luigi, and Prefect for automating ETL processes, and familiarity with any such tool will be highly advantageous.
