Data Analytics Engineer

In today's data-driven world, organizations are generating vast amounts of data every day. To effectively manage and utilize this data, companies need skilled data engineers who can design and implement robust data pipelines and build and maintain efficient data warehouses. As a Data Engineer, you will play a crucial role in the data team, responsible for designing and implementing data pipelines, building and maintaining data warehouses, and performing data analysis. You will gain hands-on experience with industry-standard tools such as Apache Spark, and AWS services like S3, Kinesis, EMR, Glue, and Redshift. By the end of the course, you will have the skills and knowledge necessary to become a proficient Data Engineer.

• Big Data Fundamentals
• Apache Spark Fundamentals
• Streaming Data with Kafka/Kinesis/PubSub
• Writing Stream & Batch Processing jobs using PySpark
• Building ETL Pipelines using Spark or AWS Glue or Google Dataflow
• Prerequisite: Prior experience in Linux & Python