Before we start understanding on “How to become a Data Engineer?”, lets understand what is Data Engineering?
Data engineering is the process of designing and building systems for collecting, storing, and processing or analyzing data at scale(small to large).
Data engineering is the process of designing, building, and maintaining the infrastructure and architecture necessary for the efficient and effective use of data. This involves a range of tasks, including collecting, storing, processing, and organizing large and complex data sets so that they can be easily and quickly analyzed by data analysts and data scientists.
Data engineers work with various tools and technologies, such as databases, big data platforms, data warehouses, and ETL (Extract, Transform, Load) tools, to create reliable, scalable, and high-performance data pipelines. The ultimate goal of data engineering is to make sure that data is available, accessible, and usable by the people who need it to make informed business decisions.
Now lets understand who is Data Engineer?
Data Engineer is a software engineer or IT engineer who is responsible for performing below activities and more:
- Work on the data architecture which is aligned with business requirements
- Build a application/system to collect data from various data sources
- Build a application/system to process data at scale(small to large)
- Creating machine learning models and identify patterns
- Automate tasks which will eliminate manual involement of people
- Continuous Learning and improve various skills
- and many more
Skill sets which are required to become a Data Engineer
Step-by-Step Guide to become a Data Engineer for Beginner Level
Module 1: Linux and Linux Commands for Data Engineers
Module 2: Shell Scripting for Data Engineers
Module 3: SQL Programming for Data Engineers
Module 4: Java Programming for Data Engineers
Module 5: Python Programming for Data Engineers
Module 6: Scala Programming for Data Engineers
Module 7: Git and GitHub for Data Engineers
Module 8: Web Development for Data Engineers
Module 9: Web Scraping for Data Engineers
Module 10: Jenkins for Data Engineers
Module 11: Big Data and Apache Hadoop for Data Engineers
Module 12: Apache Hive for Data Engineers
Module 13: Apache Sqoop for Data Engineers
Module 14: Apache Oozie for Data Engineers
Module 15: Apache HBase for Data Engineers
Module 16: Apache Kafka for Data Engineers
Module 17: Apache Spark with Scala for Data Engineers
Module 18: Apache Spark with Python(PySpark) for Data Engineers
Module 19: Apache Airflow for Data Engineers
Module 20: Docker for Data Engineers
Module 21: Kubernetes for Data Engineers
Module 22: AWS Cloud for Data Engineers
Module 23: Azure Cloud for Data Engineers
Module 24: GCP Cloud for Data Engineers
Module 25: Case Study Projects for Data Engineers
Happy Learning !!!