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  • Emplois similaires à : Data Engineer, Central InfraOps Analytics Team
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Data Engineer, Central InfraOps Analytics TeamAmazon • Herndon, Virginia, United States
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Data Engineer, Central InfraOps Analytics Team

Amazon
  • US
    Herndon, Virginia, United States
  • US
    Herndon, Virginia, United States
Postuler Maintenant

À propos

Job ID: 10405620 | Amazon Data Services, Inc. As a Data Engineer you will enable data‑driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to safety, security, maintenance, operations, logistics, engineering and equipment management. Key job responsibilities Design, develop, and maintain ETL pipelines to ingest data into the data warehouse and data lake Create and optimize logical data models that drive physical design for the Infrastructure Operations organization Implement data quality measures and ongoing monitoring to ensure data integrity Build scalable, efficient, and maintainable data solutions that support business intelligence needs Optimize data storage and query performance across various data platforms Develop automated processes to replace manual data operations Collaborate with business stakeholders to understand data and reporting requirements Translate business questions into data solutions that drive decision‑making Mentor and develop peers in data engineering best practices Participate in code reviews, design discussions, and team planning Improve self‑service access to data for business users Enhance code quality and dependency management Automate manual processes to increase efficiency Identify and resolve root causes of complex data problems Day in the life At AWS, the Data Engineer fully embraces the “You Build It, You Own It” philosophy, taking complete ownership of data solutions from conception through deployment and ongoing maintenance. You design architectures, implement pipelines, and remain responsible for their health and evolution as business needs change. Each day begins with reviewing pipeline alerts and data quality metrics, followed by a 15‑30 minute team stand‑up to align on priorities and discuss blockers. You’ll spend time monitoring infrastructure, reviewing logs for ETL pipeline health and data lake performance, then dedicate time to address stakeholder queries and prioritizing incoming requests via email, Slack and intake forms. The majority of your time is spent developing and maintaining ETL pipelines that ingest infrastructure operational data from global data centers, which includes writing code, debugging issues, optimizing queries, and implementing quality checks. Basic Qualifications 1+ 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) Preferred Qualifications Experience with big data technologies such as Hadoop, Hive, Spark, EMR Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life and AD&D insurance), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.
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  • Herndon, Virginia, United States

Compétences linguistiques

  • English
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