AWS Glue Architect

7 days ago

McKinney, United States JobRialto Full time
Job Summary

We are seeking an experienced AWS Glue Architect with a strong background in ETL development and data engineering. The ideal candidate will have extensive hands-on experience with AWS Glue and other AWS services to design and implement end-to-end data processing solutions. This role requires a solid understanding of data lakes, data pipelines, and transformation processes, as well as the ability to integrate multiple data sources for efficient analytics.

Key Responsibilities

• Design, develop, and maintain robust and scalable data pipelines using AWS Glue for data integration and transformation

• Build and manage data lakes, data warehouses, and data pipelines on AWS to enable efficient data processing

• Integrate various data sources, including SQL databases and other repositories, for comprehensive data processing and analytics

• Design and implement data transformation processes to clean, enrich, and structure data for business and analytical purposes

• Enhance and create AWS Lambda functions as part of the data processing workflow where necessary

• Implement and manage monitoring and alerting systems using AWS CloudWatch to identify and address potential pipeline issues proactively

• Collaborate with stakeholders to gather data requirements and ensure seamless integration of AWS services

• Optimize performance and reliability of ETL processes across the AWS ecosystem

• Ensure secure access management and governance by leveraging AWS IAM policies

Required Qualifications

• 7+ years of experience in ETL development and data engineering

• Extensive hands-on experience with AWS Glue for data integration, transformation, and ETL processes

• Strong proficiency in SQL for querying, data extraction, transformation, and loading (ETL) tasks across relational databases

• Solid background in building and managing data lakes, data warehouses, and scalable data pipelines on AWS

• Deep familiarity with AWS services, including S3, Redshift, Lambda, Athena, CloudWatch, and IAM

• Experience with ETL tools such as Informatica, SSIS, or similar platforms

• Proven experience designing and implementing end-to-end data transformation processes

• Strong understanding of monitoring and alerting systems for proactive issue resolution

Preferred Qualifications

• Experience in performance tuning of ETL processes for large-scale data solutions

• Prior experience with AWS security and governance best practices

• Strong analytical skills to structure and optimize data for business needs

Location: McKinney, TX

Education: Bachelors Degree

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