Data Engineer, Alexa Smart Home
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence
In short
The Alexa Smart Home team seeks a Data Engineer in Bengaluru, India, to join their Decision Sciences team. This role involves designing, implementing, and automating data integration and analytical environments using Python, Scala, or Java, processing terabytes of data, and leveraging AI capabilities for data pipelines and model consumption, while prioritizing data privacy.
Responsibilities
- Work with product and development teams within Alexa org to understand product vision and requirements.
- Design, implement and support high quality data products.
- Partner with cross functional teams to ingest relevant datasets into the Alexa Smart Home BI data-warehouse.
- Build self-service data platforms with capabilities like data discovery, data lineage, proactive data monitoring and security/compliance monitoring.
- Manage data infrastructure, including capacity planning, cost optimization, and performance tuning.
- Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake etc.
- Implement data pipelines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
- Build data pipelines that support AI/ML use cases and enable integration with AWS AI services such as Amazon Bedrock and SageMaker.
- Collaborate with Data Scientists to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
- Help continually improve ongoing data infrastructure processes, automating or simplifying self-service modeling and production support for stakeholders.
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 4+ years of SQL experience
Desired 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)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with Apache Spark / Elastic Map Reduce
- Experience working with large language models (LLMs), including prompt engineering, model selection, and instructions fine-tuning to optimize model performance for analysis against large datasets
- Experience with scripting and API integration with AWS AI services such as Amazon Bedrock and SageMaker
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodations available for individuals with disabilities during the application, hiring, and onboarding process.
#Data Engineering#Alexa#Smart Home#Decision Sciences#Business Intelligence#ETL#Data Modeling#Data Warehouse#AWS#Big Data#AI#Machine Learning
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Associate
Locations
Bengaluru, India
Applicants
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