Requirements

• Bachelor's Degree in related major from reputable University
• 6+ years of hands-on data engineering experience
  
• Expertise with AWS services: S3, Redshift, EMR, Glue, Kinesis, Dynamo DB
  
• Building batch and real-time data pipelines
  
• Python, SQL coding for data processing and analysis
  
• Data modeling experience using Cloud based data platforms like Redshift, Snowflake, Databricks
  
• Design and Develop ETL frameworks
  
• ETL development using tools like Informatica, Talend, Fivetran
  
• Creating reusable data sources and dashboards for self-service analytics
  
• Experience using Databricks for Spark workloads or Snowflake
  
• Working knowledge of Big Data Processing
  
• CI/CD setup
  
• Infrastructure-as-code implementation
  
• Any one of the AWS Professional Certification