Data Engineer Career Track
Build scalable data infrastructure and pipelines
What is a Data Engineer?
Data Engineers design, build, and maintain the infrastructure that enables data collection, storage, and analysis at scale. They work with big data technologies, cloud platforms, and distributed systems to create robust data pipelines.
What You'll Learn
- Apache Spark and Databricks
- Hadoop ecosystems (EMR, HDInsights, Hive)
- Data Lake and Lakehouse architectures
- Trino, Athena, Synapse Serverless, Delta Lake
- Streaming with Kafka, Flink, Kinesis, Spark Structured Streaming
- ML fundamentals for Data Engineers
- DevOps and best practices
Career Path
This comprehensive track covers modules 1-9 of our course, designed for modern Data Engineers. Perfect for those looking to build enterprise-grade data infrastructure and work with cutting-edge big data technologies. Advanced modules (10-11) cover streaming and ML for experienced professionals.