Data Engineer
Robert Half Technology
Description
+ Design, develop, and maintain scalable and reliable data pipelines on the AWS platform using services such as AWS Glue, AWS Data Pipeline, or custom-built solutions.
+ Implement and optimize SQL queries for data extraction, transformation, and loading (ETL) from various sources into AWS data storage solutions such as Amazon Redshift, Amazon RDS, or Amazon S3.
+ Develop and maintain Python scripts for data processing, manipulation, and automation tasks within the AWS environment.
+ Collaborate with cross-functional teams to understand data requirements and design efficient data models, schemas, and architectures for storage and analysis.
+ Ensure data quality and integrity by implementing monitoring, validation, and error handling mechanisms within data pipelines.
+ Perform performance tuning and optimization of data workflows to meet SLAs (Service Level Agreements) and scalability requirements.
+ Stay updated with AWS services and best practices related to data engineering, and proactively suggest improvements to existing processes and architectures.
+ Provide technical guidance and support to team members on AWS data engineering tools, SQL, ETL processes, and Python programming.
+ Document technical specifications, workflows, and solutions for reference and knowledge sharing within the team.
+ Participate in troubleshooting and resolution of data-related issues and incidents, including root cause analysis and preventive measures.
Requirements
+ Bachelor’s degree in Computer Science, Engineering, or a related field.
+ Proven experience as a Data Engineer or similar role, with a focus on AWS technologies.
+ Strong proficiency in SQL for data manipulation and querying.
+ Experience with AWS services such as AWS Glue, AWS Data Pipeline, Amazon Redshift, Amazon RDS, and Amazon S3.
+ Proficiency in Python programming language for scripting and automation.
+ Solid understanding of data modeling, ETL processes, and data warehousing concepts.
+ Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
+ Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
+ Proactive mindset with a willingness to learn and adapt to new technologies and methodologies.
+ AWS certification(s) such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Analytics – Specialty (preferred but not required).
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