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AWS Data Analytics Training - AWS Data Engineer online course

Take the next step in your IT journey with AWS Data Analytics Training at Visualpath. Our AWS Data Engineer online course provides expert-led sessions, hands-on projects, and real-world experience in building and managing scalable AWS data pipelines. Acquire job-ready skills, industry knowledge, and open doors to high-demand global cloud data opportunities. Call 91-7032290546 today.<br>Visit: https://www.visualpath.in/online-aws-data-engineering-course.html<br>WhatsApp: https://wa.me/c/917032290546<br>Blog link: https://visualpathblogs.com/category/aws-data-engineering-with-data-analytics/

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AWS Data Analytics Training - AWS Data Engineer online course

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  1. What Key Skills Do AWS Data Engineers Need Today? • Essential Expertise for Modern Cloud Data Professionals

  2. Understanding AWS Data Engineering • Focus on building scalable, efficient data pipelines • Transforming raw data into actionable insights • Integration of multiple AWS services and tools • Support for analytics, BI, and AI/ML workloads • Real-time and batch data processing

  3. Core Cloud Skills • Strong knowledge of AWS services (S3, Redshift, Glue, Lambda) • Understanding cloud architecture best practices • Hands-on experience with serverless and managed services • Security and compliance awareness in cloud data solutions • Cost optimization strategies in cloud infrastructure

  4. Data Engineering & Pipeline Skills • ETL (Extract, Transform, Load) process expertise • Building reliable and scalable data workflows • Data cleansing, transformation, and integration skills • Workflow orchestration tools like AWS Step Functions or Airflow • Handling structured, semi-structured, and unstructured data

  5. Programming & Scripting Skills • Proficiency in Python and/or Java for data processing • SQL expertise for data querying and analytics • Familiarity with Bash or Shell scripting for automation • Using SDKs and APIs to interact with AWS services • Debugging, testing, and optimizing data scripts

  6. Data Analytics & Visualization • Understanding data modeling and schema design • Experience with AWS Analytics tools like QuickSight, Redshift • Ability to generate insights from large datasets • Knowledge of BI reporting and dashboard creation • Data storytelling for decision-making

  7. DevOps & Automation Skills • CI/CD implementation for data pipelines • Infrastructure as Code (IaC) using CloudFormation/Terraform • Monitoring and logging for data pipelines (CloudWatch) • Automation for scalability and efficiency • Collaboration with DevOps and data teams

  8. Soft Skills & Career Readiness • Problem-solving and analytical thinking • Effective communication with stakeholders • Collaboration in cross-functional teams • Adaptability to new technologies and AWS updates • Continuous learning mindset for career growth

  9. Contact Us Flat no: 205, 2nd Floor, NILGIRI Block, Aditya Enclave, Ameerpet, Hyderabad-16 Mobile No: +91 7032290546 online@visualpath.in

  10. THANK YOU

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