ADCI
Technology
DataEngineer,AlexaSmartHome
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, Alexa Smart Home at ADCI. Skills: Data engineering, Data modeling, ETL, SQL. Design scalable analytical solutions. Process structured data”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, 4+ years of SQL experience
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Experience with big data technologies, Experience with Apache Spark, Experience working with large language models, Experience with scripting and API integration
What You'll Do.
Design scalable analytical solutions
Process structured data
Store unstructured data
Design data infrastructure
Implement data integration environment
Implement analytical environment
Automate data quality platform
Design complex data models
Own data presentation
Own dashboarding tools
Write scalable SQL queries
Develop data access platforms
Enhance data pipeline development
Ingest relevant datasets
Build self-service data platforms
Manage data infrastructure
Implement data pipelines
Build data pipelines for AI/ML
Enable integration with AWS AI services
Improve data infrastructure processes
Automate self-service modeling
Simplify production support
How You'll Work.
Team & Collaboration
Work with product teams; Work with development teams; Work with Product Managers; Work with BI engineers; Work with Software Engineers; Work with Data Scientists; Partner with cross functional teams; Collaborate with peer data engineers; Collaborate with Data Scientists
Full Job Description
The Alexa Smart Home Team is looking for a talented, highly motivated Data Engineer to join our Decision Sciences team. We provide actionable business insights that inform future products and services that will power the next generation of Alexa-enabled smart home devices. As a Data Engineer, you will work in one of the world's largest and most complex data-warehouse environments. You will work closely with Product Management, Software Development, Data Science, and other peer Data Engineering teams to develop scalable and innovative analytical solutions, process and store terabytes of low latency structured and unstructured data, and enable the Smart Home team to build successful, data driven strategies to provide the best customer experience. Data privacy is the top priority, and you will have the opportunity to design data infrastructure that delivers the best-in-class data privacy and compliance for retaining the customer trust. You will be responsible for designing and implementing a data integration and analytical environment using various tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up. You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation and dashboarding tools for the end users of our data products and systems. You will write scalable, highly tuned SQL queries running over billions of rows of data and will develop data access platforms to drive adoption of data driven decision making across the Smart Home organization. Beyond traditional data engineering, you will leverage AI capabilities to enhance data pipeline development, transforming raw data into structured datasets ready for downstream AI model consumption, analytics use cases, and proactive data quality validations. This agility is critical at a moment when speed of AI adoption directly translates to business impact for our smart home customers. You should have dee
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