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Data Engineer, Central InfraOps Analytics Team

Amazon

Seattle, WA

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Apache Hadoop, Apache Hive, Apache Spark, Architectural Design, Best Practices, Big Data, Business Intelligence, Business Support, Capacity Analysis, Capacity Management, Code Reviews, Computer Programming, Consulting, Continuous Improvement, Data Description Language (DDL), Data Lake, Data Modeling, Data Quality, Data Sets, Data Storage, Data Warehousing, Database Extract Transform and Load (ETL), Database Programming Languages, Debugging Skills, Electronic Medical Records, Engineering, Establish Priorities, Expense Tracking, IBM WebSphere DataStage, Informatica, Logistics, MDX (MultiDimensional eXpression Language), Maintain Compliance, Mentoring, Multiplatform/Cross-Platform, Network Operations Center, Oracle PL-SQL, Philosophy, Process Development, Process Improvement, Python Programming/Scripting Language, Quality Management, Quality Metrics, Query Optimization, Root Cause Analysis, SQL (Structured Query Language), SQL Server Integration Services (SSIS), Scala Programming Language, Scalable System Development, Scripting (Scripting Languages), Security Compliance, Slack, Time Tracking
LOCATION
Seattle, WA
POSTED
9 days ago
Description 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 A 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. The role requires frequent context switching between developing new data models, supporting existing infrastructure, and consulting on data utilization. Key challenges you'll tackle include unifying and understanding fragmented data from diverse data center systems, enabling infrastructure monitoring, supporting analytics for capacity planning, driving optimization through data insights, automating manual processes, creating self-service access for business users, maintaining quality across massive datasets, ensuring compliance with strict security requirements, designing for scale as AWS expands globally, and modernizing legacy systems to reduce technical debt. 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, etc. 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, including support for the interview or onboarding 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 & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Herndon - 101,300.00 - 160,000.00 USD annually USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles