AWS Cloud Data Engineer
1 month ago
We are seeking an experienced AWS Data Engineer to join our team at IT Source Global. As a key member of our data engineering team, you will be responsible for designing and developing data pipelines using AWS Glue, Python, and PySpark to extract, transform, and load data from various sources into data lakes or data warehouses.
Key Responsibilities:- Design and develop ETL processes using AWS Glue, Python, and PySpark to extract, transform, and load data from various sources.
- Integrate data from multiple sources, ensuring data quality, consistency, and availability for downstream analytics and reporting.
- Optimize data processing workflows for performance and scalability, ensuring low-latency and high-throughput data processing.
- Deploy and manage AWS resources, including S3, Lambda, Glue Catalog, Athena, and Redshift, to support data engineering tasks.
- Automate data workflows and processes using AWS Glue workflows, triggers, and job scheduling.
- Implement data validation and cleansing procedures to maintain the integrity and quality of the data.
- Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and deliver solutions that meet business needs.
- Monitor data pipelines for performance issues and troubleshoot any failures or inefficiencies.
- Maintain clear and concise documentation of data pipelines, processes, and AWS infrastructure setups.
This is an exciting opportunity to work with a talented team of data engineers and contribute to the development of innovative data solutions. If you are a motivated and experienced AWS Data Engineer looking for a new challenge, please apply today.
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