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Data Engineer, Workplace Health and Safety, Entry Level

jobright.com, Bellevue, Washington, us, 98009

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Data Engineer, Workplace Health and Safety, Entry Level

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Data Engineer, Workplace Health and Safety, Entry Level

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Jobright.ai Data Engineer, Workplace Health and Safety, Entry Level

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Data Engineer, Workplace Health and Safety, Entry Level

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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Amazon is committed to creating a safer and more productive work environment through its Workplace Health and Safety (WHS) team. They are seeking a Data Engineer to design and implement data solutions that enhance workplace safety and regulatory compliance using advanced AWS technologies and big data platforms. Responsibilities: Architect and deliver enterprise-scale data infrastructure solutions, enabling robust dataset management and advanced business intelligence capabilities Build and orchestrate complex ETL processes across diverse data sources using SQL and AWS technologies, collaborating with cross-functional engineering teams Drive data architecture decisions through comprehensive technical documentation and evidence-based recommendations to stakeholder teams Streamline reporting workflows and implement automated solutions to enhance stakeholder self-service capabilities and operational efficiency Lead strategic initiatives with BI and technology partners to optimize data pipelines, improve data accessibility, and enhance infrastructure performance Learn and influence adoption of latest AWS technologies to expand platform capabilities and drive operational excellence Qualifications: Required: 2+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics Preferred: Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, headquartered in Seattle, Washington, USA, team size 10001+ employees, currently Public Company. Amazon has a track record of offering H1B sponsorships. Seniority level

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