Amazon Web Services (AWS)
Sr. Data Engineer, GS S&O - Operational Excellence
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Position Overview:
We are seeking an experienced and skilled Data Engineer to join our dynamic team. The Data Engineer will play a crucial role in designing, developing, and maintaining efficient and scalable data pipelines, data models, and data warehousing solutions. This position will be responsible for ensuring data integrity, quality, and availability across the organization, enabling data-driven decision-making and supporting business intelligence initiatives.Key Job Responsibilities:
Conduct data discovery and profiling for various data sources, including Page0, entitlement models, and propensity models.Design and implement robust ETL pipelines to extract data from multiple sources, transform it according to defined business rules, and load it into centralized data storage systems.Develop and maintain efficient data ingestion processes, ensuring timely and accurate data availability.Design and develop effective data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.Implement and maintain a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.Collaborate with stakeholders to understand data requirements and translate them into optimized data structures and models.Establish and enforce data governance policies and procedures to maintain data quality, consistency, and integrity across the organization.Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.Continuously monitor data quality, identify issues, and implement remediation measures as needed.Design and implement centralized data integration pipelines to consolidate data from various sources into a unified data platform.Ensure seamless data integration and interoperability between different systems, applications, and processes.Integrate propensity models with downstream systems and processes, facilitating data-driven decision-making.Implement robust data security measures, including access controls, authentication, and authorization mechanisms, to protect sensitive data.Ensure data lineage and traceability across the organization, enabling auditing and compliance.Continuously monitor data flows and optimize performance by identifying bottlenecks and implementing efficient solutions.Develop and implement data retention and archiving policies to manage data growth and storage requirements.Establish data disaster recovery and business continuity plans to ensure data availability and resilience.If you are a passionate data professional with a keen interest in building scalable and robust data solutions, we encourage you to apply for this exciting opportunity. Join our team and contribute to driving data-driven innovation and business success.Minimum Qualifications:
5+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesPreferred Qualifications:
Experience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience operating large data warehousesWe are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Dallas, TX, USA | Seattle, WA, USAAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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We are seeking an experienced and skilled Data Engineer to join our dynamic team. The Data Engineer will play a crucial role in designing, developing, and maintaining efficient and scalable data pipelines, data models, and data warehousing solutions. This position will be responsible for ensuring data integrity, quality, and availability across the organization, enabling data-driven decision-making and supporting business intelligence initiatives.Key Job Responsibilities:
Conduct data discovery and profiling for various data sources, including Page0, entitlement models, and propensity models.Design and implement robust ETL pipelines to extract data from multiple sources, transform it according to defined business rules, and load it into centralized data storage systems.Develop and maintain efficient data ingestion processes, ensuring timely and accurate data availability.Design and develop effective data models and schemas for Page0 data, entitlement model data, propensity model data, and other relevant data sources.Implement and maintain a centralized data warehouse architecture, ensuring scalability, performance, and data integrity.Collaborate with stakeholders to understand data requirements and translate them into optimized data structures and models.Establish and enforce data governance policies and procedures to maintain data quality, consistency, and integrity across the organization.Implement data quality controls, monitoring, and reporting mechanisms to ensure data accuracy and reliability.Continuously monitor data quality, identify issues, and implement remediation measures as needed.Design and implement centralized data integration pipelines to consolidate data from various sources into a unified data platform.Ensure seamless data integration and interoperability between different systems, applications, and processes.Integrate propensity models with downstream systems and processes, facilitating data-driven decision-making.Implement robust data security measures, including access controls, authentication, and authorization mechanisms, to protect sensitive data.Ensure data lineage and traceability across the organization, enabling auditing and compliance.Continuously monitor data flows and optimize performance by identifying bottlenecks and implementing efficient solutions.Develop and implement data retention and archiving policies to manage data growth and storage requirements.Establish data disaster recovery and business continuity plans to ensure data availability and resilience.If you are a passionate data professional with a keen interest in building scalable and robust data solutions, we encourage you to apply for this exciting opportunity. Join our team and contribute to driving data-driven innovation and business success.Minimum Qualifications:
5+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesPreferred Qualifications:
Experience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience operating large data warehousesWe are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Dallas, TX, USA | Seattle, WA, USAAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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