Data Architect for High-Volume Data Integration
1 week ago
As a Data Architect for High-Volume Data Integration, you will play a pivotal role in designing and implementing large-scale data integration services that drive business decision making at Amazon Consumer Gift Cards.
With a mission to provide the world's most desired and convenient gifting option to customers, our team leverages Data Science, Machine Learning, Analytics, and Data Engineering to enable decision-making for WW Gift Cards. You will be responsible for building efficient, flexible, extensible, and scalable data models, ETL designs, and data integration services using third-party and in-house reporting tools, modeling metadata, building reports, and dashboards.
Key responsibilities include implementing data ingestion routines both real-time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools, designing, implementing, and operating large-scale, high-volume, high-performance data for analysis and data science, gathering business and functional requirements, and translating these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
To succeed in this role, you should have a Bachelor's Degree in an engineering or technical field, 5+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytics tools, strong knowledge of various data warehousing methodologies and data modeling concepts, and experience performing various performance tuning activities at the database level as well as ETL.
Preferred qualifications include industry experience as a Data Engineer or related specialty, coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.), experience building data products incrementally and integrating and managing datasets from multiple sources, query performance tuning skills using Unix profiling tools and SQL, and experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline, and other big data technologies.
We offer a competitive salary range of $150,000 - $180,000 per year, based on your location and experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and professional development opportunities.
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