Amazon Web Services (AWS), is seeking a motivated and experienced Data Engineer to assist us in developing a data collection platform for various AWS AI products. A strong background in computer science and knowledge of natural language processing tools are essential for the successful candidate.
You will be a Data Engineer in our Science team. As part of this team, you will collaborate closely with Data Scientists, Data Scientists and Technical Program Managers to develop data pipelines that can be used to optimize data collection, processing, and storage.In a data warehouse environment, you will be responsible for synthesizing and analyzing data from across the organization. You can find this job in Seattle, New York, or California. As a part of your career path as a graduate you can consider undergoing some Data science training which will help in increasing the chance of acquiring a job.
You are passionate about Excellence. You are a skilled engineer who has a track record of creating data engineering solutions that scale, offer high availability, and require minimal maintenance. Code that is clear, readable and straightforward is what you are able to write.
You are willing to do anything necessary to increase value. You are a speed-oriented businessman and can work in a fast-paced environment. You care deeply about your stakeholders and can provide the data they require.
To be able to communicate with product owners and understand their business needs and build data sets to answer them, you must have excellent business and communication skills.
You can manage ambiguity and juggle competing priorities. You thrive in a fast-paced, agile environment with visible projects and initiatives.
MAJOR RESPONSIBILITIES
* Create software to optimize data annotation, data processing and data metrics generation
* Collaborate with scientists, engineers, and linguists who are experts in AI data collection to optimize and automate the entire data collection process.
* Lead the creation of a data warehouse, pipeline and dashboard that scales and allows large volumes of data to flow seamlessly between internal and externe teams.
Inclusive team culture
We embrace differences at AWS. We are committed in promoting inclusion. Ten employee-led affinity groups have been established, reaching over 40,000 people in 190 countries. We offer innovative benefits and host ongoing learning experiences such as the Conversations on Race & Ethnicity and AmazeCon conferences (gender diversity). Amazon’s culture is based on 16 Leadership Principles that remind employees to be open-minded, seek out diverse perspectives, be curious, and gain trust.
Work/Life Balance
Our team places a lot of importance on work-life balance. It’s not about how many hours you work or how many you spend at home; it’s about how you create a flow that gives energy to both. To achieve happiness and fulfillment in your life, it is important to strike the right balance between your professional and personal life. We encourage flexibility in work hours and help you find the right balance between personal and professional life.
Mentorship & Career Growth
Our team is committed to supporting new members. Our team has a wide range of experience and tenures. We are creating an environment that encourages knowledge sharing and mentorship. We are committed to your career growth. We assign projects based upon what will make each member a more competent professional and allow them to take on more challenging tasks in the future.
BASIC QUALIFICATIONS
* A bachelor’s degree in computer science or software engineering or another technical discipline.
* A minimum of 3+ years experience as a Software Engineer or Data Engineer with strong knowledge in algorithms.
* Experience in software development using an object-oriented programming language such as Java or C++.
* Knowledge of one or more scripting languages such as Ruby, Perl or Python.
* Software engineering best practices throughout the development lifecycle. This includes agile methodologies, code reviews, code standards, code reviews and source management.
* Basic knowledge of data management principles and storage principles.
* Knowledge of distributed systems in relation to data storage and computing.
PREFERRED QALIFICATIONS
* Experience in the industry as a Software Engineer, Data Engineer or other related specialty.
* Experience building data products incrementally, integrating and managing multiple datasets.
SQL Experience.
Amazon is committed towards a diverse and inclusive work environment. Amazon is an equal opportunity employer. It does not discriminate based on race, gender, national origin, gender identity, sexual orientation or protected veteran status. For individuals with disabilities who would like to request an accommodation,
