Vacancy 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.
- P...
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.
- P...
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