How to Switch Your Career to Data Engineering ?
5🔄 HOW TO SWITCH YOUR CAREER TO DATA ENGINEERING
by Jose Gomez de Jesus
#DataEngineering #CareerSwitch #LearnSQL #ETLTools #CloudEngineering #DataSecurity #MonitoringTools #DataScienceSupport
🌱 INTRODUCTION
Switching to data engineering isn’t just a career pivot—it’s a transformation into the backbone of modern analytics, AI, and decision-making. Whether you're coming from software development, data analysis, or a non-tech background, this path empowers you to build scalable systems, orchestrate data flows, and serve the needs of data scientists and business leaders alike. Here's your step-by-step guide to ritualize the transition.
#DataEngineerJourney #TechCareer #AIInfrastructure
🧱 1. LEARN ABOUT DATA SERVERS: SQL SERVER, ORACLE, MYSQL
Master SQL and relational database fundamentals. Learn how to query, join, and manipulate structured data across platforms.
#SQLServer #OracleDB #MySQL #LearnSQL #DatabaseDesign
🧭 2. DESIGN OLTP AND DATA WAREHOUSES
Understand transactional vs analytical systems. Learn normalization, dimensional modeling, and medallion architecture to support scalable analytics.
#OLTP #DataWarehouse #SchemaDesign #MedallionArchitecture
🔄 3. LEARN ETL TOOLS: SSIS, INFORMATICA, DATABRICKS
Explore how data moves—extract, transform, load. Master orchestration tools like Airflow, Spark, and dbt to automate and scale pipelines.
#ETL #SSIS #Informatica #Databricks #ApacheAirflow #dbt
🎓 4. TAKE CERTIFICATIONS
Validate your skills with certifications from AWS, Azure, GCP, or vendor-specific platforms like Databricks and Informatica.
#AWSCertification #AzureCertification #GCPDataEngineer #DatabricksCertified
☁️ 5. LEARN CLOUD DATA ENGINEERING: AZURE, GCP, AWS
Scale your architecture to the cloud. Learn how to manage storage, compute, and orchestration across cloud-native platforms.
#CloudEngineering #AzureDataEngineer #AWSDataPipeline #GCPBigQuery
🔐 6. MASTER YOUR DATA SECURITY
Understand encryption, IAM, data governance, and compliance. Learn to protect sensitive data and enforce access boundaries.
#DataSecurity #IAM #Encryption #Governance #Compliance
📈 7. LEARN MONITORING AND OPTIMIZATION TOOLS
Use tools like CloudWatch, Datadog, and Prometheus to monitor pipelines, optimize performance, and troubleshoot bottlenecks.
#MonitoringTools #CloudWatch #Datadog #Prometheus #PipelineOptimization
🎨 8. UNDERSTAND DATA SCIENTIST NEEDS: DASHBOARDS & REPORTS
Your clients will be analysts and data scientists. Learn how to prepare clean datasets, design dashboards, and support tools like Power BI, Tableau, and Looker.
#DataScienceSupport #PowerBI #Tableau #Looker #DashboardDesign #ReportingTools