Data Engineer

Job Overview

DESCRIPTION

Are you passionate about building a Data marketplace within Amazon Pinpoint service that would enable Big Data as a Service (BDaaS)? Join the Amazon Pinpoint Data, Analytics, and ML team to provide our customers ready to query data sets with the right granularity at the right time and place that help them gain rich insights. You would build a new multi-petabyte data lake encompassing the software, data warehousing, infrastructure and platform service models in order to deliver on this vision. You would leverage AWS Big Data stack such as Elastic Map Reduce (EMR), AWS Lake Formation, and other new in-house built technologies to dynamically scale and handle ever-increasing volume of data produced by AWS Pinpoint services.
You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to design the data schema and build the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.

Amazon Pinpoint is an AWS service that enables you to engage with your customers across multiple messaging channels, such as push notifications, emails, SMS text messages, voice messages, and custom channels powered by AWS Lambda. Using the analytics that Amazon Pinpoint provides, customers can gain insight into your user base by viewing trends related to user engagement, campaign outreach, revenue, and more.

About Us
Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Amazon is committed to a diverse and inclusive workplace.

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