Want to become Data Engineer? Here is the roadmap.. 1. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 - What is Data Engineering? - Role in Data Pipeline - Data Engineer's Responsibilities 2. 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐚𝐠𝐞 - Databases: Relational, NoSQL - Data Warehouses - Data Lakes 3. 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 - Extract, Transform, Load (ETL) Process - Data Extraction Tools - Data Streaming 4. 𝐃𝐚𝐭𝐚 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 - Data Cleaning - Data Enrichment - Data Aggregation 5. 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 - Relational Data Modeling (ERD) - Dimensional Modeling - Schema Design 6. 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 - Hadoop Ecosystem (HDFS, MapReduce) - Apache Spark - NoSQL Databases (MongoDB, Cassandra) 7. 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 - Apache NiFi - Apache Airflow - Prefect 8. 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 - Data Quality Assessment - Data Catalogs - Data Governance Framework 9. 𝐃𝐚𝐭𝐚 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 - Data Encryption - Access Control - Compliance (GDPR, HIPAA) 10. 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐀𝐏𝐈𝐬 - RESTful APIs - API Integration - Data Integration Platforms (Mulesoft, Dell Boomi) 11. 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 - Data Engineering in AWS, Azure, GCP - Managed Services (AWS Glue, Azure Data Factory) 12. 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 - Kafka for Event Streaming - Real-time Analytics (Apache Flink, Kafka Streams) 13. 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 - Snowflake - Redshift - Google BigQuery 14. 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 - Lambda Architecture - Kappa Architecture - Event Sourcing ----------------------------------------------------------------------- 𝐉𝐨𝐢𝐧 𝐦𝐲 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐂𝐡𝐚𝐧𝐧𝐞𝐥 - https://lnkd.in/d-T5diBY #dataengineer #bigdata #sql #python #spark | 73 comments on LinkedIn