AWS Data Engineer Support | S2 | Data Centre of Excellence

Skills across Various Data Competencies

In today's data-driven world, having expertise in various data competencies is crucial for a successful career. Some of the key skills include:

SQL

Proficiency in SQL is essential for interacting with databases. Familiarity with different SQL platforms such as AWS Athena, Hive, and Snowflake can significantly enhance your capabilities.

Hadoop/EMR/Spark/Scala

Knowledge of big data tools such as Hadoop, EMR, Spark, and Scala is valuable for handling large datasets and performing complex data processing tasks.

Data Structures

Understanding data structures, including tables, views, and stored procedures, is fundamental for organizing and manipulating data effectively.

Data Modelling

Expertise in data modeling concepts like star and snowflake schemas is essential for designing efficient storage solutions and ensuring data normalization.