About the job
Come construct the future as a Data Engineer at Amazon, where you will be motivated working along best in class inventors and innovators! You will have the opportunity to create significant experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon data engineer, you will fathom special and complex issues at a fast pace, utilizing the most recent innovations to make arrangements that are profoundly versatile. You will find that there is an boundless number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you will be making for our customers.
Teams with accessible positions includes:
- Consumer Innovations: Construct new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features which are reviews and recommendations, category specific software for the likes of Pharmacy and Video Games or seller infrastructure. There are many complex problems to tackle using a range of technologies in the design of your technical solutions.
- Operations Innovations: Shape the future of transportation arranging and execution on a worldwide scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of clients over the world. Your technology will support thousands of operators worldwide to design the best in class Amazon transportation network.
- Human Resources Innovations: Create a seamless experience for millions of Amazonians and candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you will convey robust feature sets, elegant designs and systems that make it easy for Amazonians to excel at performing critical business functions.
About Us
Work/Life Balance
Our group puts a high value on work-life balance. It isn’t about how numerous hours you spend at home or at work. We accept striking the right balance be-tween your personal and professional life is critical to life long happiness and fulfillment. We offer flexibility in working hours and empower you to discover your own balance between your work and personal lives.
Mentorship and Career Growth
Our team is dedicated to supporting new members. We have many of experience levels. we made an environment that celebrates mentorship and knowledge sharing. We care about your career growth and strive to assign other opportunities.
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to advancing our culture of incorporation. We had 10 employee led affinity groups, reaching 40,000 employees globally. We have innovative profit offerings, and host annual. The culture of amazon of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious.
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipe
Preferred Qualifications
- Experience with AWS advances like Redshift, S3, AWS Stick, EMR, Kinesis, Fire Hose, Lambda, and IAM parts and permissions
- Experience with non-relational databases information stores (question capacity, report or key-value stores, chart databases, column-family databases)
Key job responsibilities
- Design, implement, and support a platform giving secured access to expansive datasets
- Own the plan, improvement, and upkeep of progressing measurements, reports, investigations, dashboards, etc. to drive key commerce decisions.
- Recognize and adopt best practices in reporting and analysis that includes data integrity, test design, analysis, validation, and documentation.
- Tune application and query performance with the help of profiling tools.
- Analyze and illuminate issues at their root, venturing back to get it the broader context.
- Learn and get it a wide extend of Amazon’s information assets and know when, how, and which to utilize and which not to use.
- Keep up to date with advances in large data technologies.
- Continually improve ongoing reporting and analysis processes, automating for datasets.
- Triage numerous possible courses of action in a high ambiguity environment, making use of both quantitative analysis and business judgment.
Amazon is committed to a assorted and comprehensive work environment. Amazon is an break even with opportunity manager and does not segregate on the premise of race, national root, sexual orientation, sexual orientation personality, sexual introduction, secured experienced status, inability, age, or other lawfully ensured status. Our compensation reflects the pay of workers across several US geographic markets. The basic salary for this post is from $118,900 (per year) in our lowest geographic market up to $205,600 (per year) in our highest geographic market. Salary is depended on numerous factors that includes market location and may vary depending on job related knowledge, skills, and experience. It is a total compensation company. Dependent on the position offered, equity, sign on payments.
For more Details visit
Company – Amazon.com LLC – A03
