Found Description
About Position:
We are seeking for Data Engineer with hands on experience in AWS, ETL, Lambda, etc.,
Role: Data Engineer
Location: All Persistent Locations
Experience: 5 to 11 years
Job Type: Full Time Employment
What You'll Do:
Design, develop, and maintain data pipelines: Create scalable and efficient data pipelines using AWS services like Kinesis, Glue, Lambda, Step Functions, and Redshift.
Data integration: Integrate data from various sources into a centralized data warehouse, ensuring data consistency, quality, and security.
ETL processes: Develop and manage ETL processes using AWS Glue and other relevant tools to transform and load data into Redshift or other databases.
Real-time data processing: Implement real-time data processing solutions using AWS Kinesis and Lambda to handle streaming data.
Automation: Automate data workflows and processes using AWS Step Functions and other orchestration tools.
Performance optimizat...
We are seeking for Data Engineer with hands on experience in AWS, ETL, Lambda, etc.,
Role: Data Engineer
Location: All Persistent Locations
Experience: 5 to 11 years
Job Type: Full Time Employment
What You'll Do:
Design, develop, and maintain data pipelines: Create scalable and efficient data pipelines using AWS services like Kinesis, Glue, Lambda, Step Functions, and Redshift.
Data integration: Integrate data from various sources into a centralized data warehouse, ensuring data consistency, quality, and security.
ETL processes: Develop and manage ETL processes using AWS Glue and other relevant tools to transform and load data into Redshift or other databases.
Real-time data processing: Implement real-time data processing solutions using AWS Kinesis and Lambda to handle streaming data.
Automation: Automate data workflows and processes using AWS Step Functions and other orchestration tools.
Performance optimizat...