Data Engineer II, Managed Operations Data Science (MODS)Amazon • United States
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Data Engineer II, Managed Operations Data Science (MODS)
Amazon
- United States
- United States
À propos
Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud. They are seeking a Data Engineer II to design and build extensive data sets, collaborating with various teams to optimize growth and user experience across AWS.
Responsibilities : • Interact with business and software teams to understand their business requirements and operational processes, to inform system design • Develop robust data models and architectures that support the organizations data-driven initiatives, ensuring data quality, consistency, and accessibility. • Design, build, and maintain efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into a unified data platform. • Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying. • Design, provision, and maintain scalable data infrastructure on AWS (Glue, Lake Formation, S3) to support ingestion, transformation, and governance of operational data across dev, gamma, and production environments. • Create, enhance, and maintain technical documentation. • Guide teams in building optimal data artifacts (datasets, visualizations) to address key questions. • Refine systems, design solutions, and create scalable data models. • Ensure data security and quality while suggesting efficient architecture, development approaches, and data management standards for complex analytical problems. • Use data to identify opportunities, and tackle challenges. • Ensure data artifacts/components deliver value by supporting AWS strategy and driving innovative solutions. • Tell data-driven stories that convince and influence partners. • Build credibility with clear insights, structured recommendations, and serve as a trusted partner within the organization.
Qualifications : Required : • 3+ years of data engineering experience • Experience with data modeling, warehousing and building ETL pipelines • Knowledge of distributed systems as it pertains to data storage and computing • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred : • 5+ years of data engineering experience • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Company :
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
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