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myGwork - LGBTQ+ Business Community Logo

Data Engineer, Alexa Connections

Chennai, Tamil Nadu, India

4 days ago

Applicants: 0

Salary Not Disclosed

3 weeks left to apply

Job Description

This job is with Amazon, an inclusive employer and a member of myGwork ? the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+. As a Data Engineer, you'll drive the development of data pipelines and automation to process massive datasets for our next-generation communication features powered by advanced AI technologies, including Generative, Agentic, and Real-time AI. You'll work closely with cross-functional teams, including product management, design, engineering and data science, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the integration of these advanced AI systems into Alexa's core capabilities, ensuring a seamless and intuitive user experience. Key job responsibilities Work closely with data scientists and engineers to create robust data architectures and pipelines Develop and manage scalable data pipelines to extract, transform, and load data from various sources Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions Automate data processing and reporting workflows to improve efficiency and data integrity Implement data quality checks and monitor processes to maintain high data accuracy Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3 About The Team Alexa Connections aspires to make Alexa+ the world's most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit, knowing our customers have plentiful choices, b) Completion of end-to-end customer journeys, beyond shipping features, and c) Joy through personalized, proactive experiences, that create a memory. Basic Qualifications 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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.

Additional Information

Company Name
myGwork - LGBTQ+ Business Community
Industry
N/A
Department
N/A
Role Category
ETL Developer
Job Role
Mid-Senior level
Education
No Restriction
Job Types
On-site
Gender
No Restriction
Notice Period
Less Than 30 Days
Year of Experience
1 - Any Yrs
Job Posted On
4 days ago
Application Ends
3 weeks left to apply

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