Job Description
Role Overview:
We are seeking a highly skilled Cloud Data Engineer to design, build, and optimize data pipelines, AI-driven solutions, and cloud-based architectures. This role is ideal for individuals with strong logical and analytical thinking skills and hands-on experience with ETL processes, dashboards, and data engineering using PySpark. This is an exciting opportunity to work on Generative AI innovations and AWS native technologies in a hybrid work environment.
Key Responsibilities:
1. Data Pipeline and ETL Development:
Build, optimize, and manage ETL pipelines using PySpark and AWS Glue for large-scale data processing.
Design robust data workflows for processing structured and unstructured data.
Ensure data integrity and security in all stages of processing.
2.Dashboard and Data Visualization for Data engineer:
Design and develop dashboards using tools like AWS QuickSight, Tableau, or Power BI.
Collaborate with stakeholders to create insightful visualiz...
We are seeking a highly skilled Cloud Data Engineer to design, build, and optimize data pipelines, AI-driven solutions, and cloud-based architectures. This role is ideal for individuals with strong logical and analytical thinking skills and hands-on experience with ETL processes, dashboards, and data engineering using PySpark. This is an exciting opportunity to work on Generative AI innovations and AWS native technologies in a hybrid work environment.
Key Responsibilities:
1. Data Pipeline and ETL Development:
Build, optimize, and manage ETL pipelines using PySpark and AWS Glue for large-scale data processing.
Design robust data workflows for processing structured and unstructured data.
Ensure data integrity and security in all stages of processing.
2.Dashboard and Data Visualization for Data engineer:
Design and develop dashboards using tools like AWS QuickSight, Tableau, or Power BI.
Collaborate with stakeholders to create insightful visualiz...