Data Engineer II, Intelligent Talent Acquisition (ITA) - Data
Amazon Emr
Amazon Web Services
Analytics
AWS
Business Intelligence
Cloud Platforms
Data
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Security
Data Warehouse
Database
Databases
ETL
Integration
Reporting and Analytics
SQL
Talent Acquisition
Talent Intelligence
Job Description
As a Data Engineer II for ITA Data at Amazon, you will design, implement, and maintain scalable data infrastructure and pipelines to support Intelligent Talent Acquisition operations. This onsite role in Seattle, WA offers a salary range of USD 132,100 to 178,800 per year and provides the opportunity to collaborate with cross-functional teams to translate diverse data sources into actionable insights.
Below is a breakdown of the core responsibilities, requirements, technologies used, and benefits associated with the role.
Responsibilities
- Design, implement, and support a platform providing secured access to large datasets.
- Architect, develop, and maintain end-to-end scalable data infrastructure and data pipelines.
- Develop the team's data strategy and technical roadmap for data storage and pipeline design and implementation.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
- Design and implement complex ETL pipelines and other BI solutions.
- Work closely with business owners, developers, and Business Intelligence Engineers to explore new data sources and deliver the data.
- Stay current with advances in big data technologies and run pilots to design data architecture that scales with increasing data volume using AWS.
- Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
- Ensure the team can efficiently manage and troubleshoot data-related issues, fostering autonomy and productivity.
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with SQL
Technologies
- SQL
- AWS Redshift
- AWS S3
- AWS Glue
- AWS EMR
- AWS Kinesis
- AWS Firehose
- AWS Lambda
- IAM roles and permissions
Benefits
- Health coverage including medical, dental, vision, and prescription
- 401(k) with company matching
- Paid time off
- Parental leave
- Basic life and AD&D insurance
- Supplemental life plans
- Employee Assistance Program (EAP)
- Mental health support
- Medical advice line
- Flexible spending accounts
- Adoption and surrogacy reimbursement coverage
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