Data Engineer II, GTPC Tech, Compliance & Assurance, AWS Security

Amazon Web Services, Inc.•2h ago

United StatesHybridFull-timeMid Level3+ yrs exp

H-1B verified · 2310 LCAs

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Top focus

Data EngineerSecurity EngineerVp DataAws EngineerData Warehouse Engineer

Do you want to innovate on a new platform with Amazon Web Services (AWS)? Come join our team in AWS, you’ll help us design and deliver data engineering solutions that enables AWS to expand our operations into new data centers worldwide. Our green-field solutions will support programs in compliance and sustainability
build a platform that will extend to first-class AWS services. You will collaborate with engineers designing data solutions at scale. Global Trade and Product Compliance (GTPC) works closely with the business and its partners to support global business expansion efforts by enabling the international flow of AWS’ hardware, software, services
technology. We facilitate global trade and ensure compliance with all relevant global trade and product compliance standards, laws
regulations. Key job responsibilities - Architecture design and implementation of next generation complex data pipelines and BI solutions based out of AWS. - Manage AWS resources including S3, EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. - Build and deliver high quality data architecture and pipelines to support business analyst, data scientists
customer reporting needs. - Interface with other technology teams to extract, transform
load data from a wide variety of data sources - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - Actively participate in the code review process, design discussions, team planning, operational excellence
constructively identifies problems and proposes solutions. A day in the life As a Security Assurance Data Engineer, you will help tackle a diverse landscape of technical challenges. You will partner with other Software Engineers along with Data Engineers, Business Intelligence Engineers, Product Manager
Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business. You’d be expected to have high standards for writing SQL, build data pipelines with infrastructure as code, code quality, code reviews, testing
operational excellence. You’ll support your peers to deliver results in a space that operates much like a start-up, with the autonomy to build the right solution from Day One. As a DE with our team, you will collaborate with other engineers on technical direction, strategy with a career opportunity for growth that AWS can offer. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path
includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations
physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives
voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training
other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home
is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience operating highly available, distributed systems of data extraction, ingestion
processing of large data sets
experience in development or technical support - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience in one or more scripting languages (e.g., Python, Ruby, Perl)
Experience working on and delivering end to end projects independently - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing
operations - Experience with complex SQL, data modeling, data warehousing
building ETL pipelines. - Relevance in areas such as Data Engineering, Database Engineering, Business Intelligence
Business Analytics. - Practical familiarity with AWS Big Data Technologies, encompassing EMR, Athena, EC2, Redshift, IAM and S3 to name a few. - Prior engagement with Redshift, PostgreSQL, SQL Server
MySQL. - Proficiency in navigating both Batch and Real-Time data processing systems. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
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
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
parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 145,300.00 - 196,600.00 USD annually

Required skills

AWSSQLPythonETLData ModelingData WarehousingApache AirflowRedshiftS3EC2RDSKinesisEMRLambdaGlue