Data Architect for Global Workforce Intelligence
4 days ago
Overview: As a Data Engineer with myGwork, you will be part of an inclusive employer and a member of the largest global platform for the LGBTQ+ business community. We are seeking a talented professional to join our team and contribute to designing the ideal workforce to meet customer promises anywhere.
Job Description: At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented leaders who can help us build the place to find and buy anything online. This is your chance to make history and be intimately involved in growing our business by leading and supporting hourly staffing initiatives.
Responsibilities:
- Design, implement and operate large-scale data structures for analytics and data science.
- Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
- Gather business and functional requirements and translate these requirements into robust solutions with a flexible data architecture.
- Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
- Help improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
About You: As a Data Engineer with Workforce Intelligence, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in transforming that data into a useful format for analytics and business intelligence.
Qualifications: 3+ years of data engineering experience, experience with data modeling, warehousing and building ETL pipelines. Preferred qualifications include experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Salary: $120,000 - $180,000 per year, depending on experience.
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