Job Location: United States
Please Find The Summary Of The Position Below
One of our many customer(s) today is urgently looking for an experienced Data Engineer III
Here Are Some Of The Specific Details
Data Engineer III – 6 Months – Arlington, Virginia – Remote
Job Description
Amazon.com is looking for a Data Engineer to join the Infrastructure Automation team. Amazon.com has over 70 million customers, and developers all over the world rely on our storage, compute, and virtualized services via Amazon Web Services. Our success depends on our world-class network and hardware infrastructure; we’re handling massive scale and rapid integration of emergent technologies. Our goal is to become “The Infrastructure Platform” for the world. The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.
Projects
As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
Typical Tasks
- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
- Implement data ingestion routines both real time and batch 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, scalable, operable solutions with a flexible and adaptable data architecture.
- Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
Required Skills & Experience
- Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience
- 7+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools.
- 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
- 3+ years of experience in scripting languages like Python etc.
- A good candidate has strong analytical skills and enjoys working with large complex data sets.
- Good knowledge of Advanced SQL, AWS Redshift or MPP databases
- A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.
Preferred
Apache Airflow
AWS skills
Story Behind the Need – Business Group & Key Projects
Team Culture
The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. The Workforce Intelligence team applies data and insights to optimize the experience and operations for Amazon’s largest candidate population – Tier 1 Associates, who bring the magic of Amazon’s industry-leading Customer Fulfillment experience to life. The pace at which job creation and hiring must happen to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve for and continually innovate on. Workforce Staffing (WFS) literally hires by the hundreds of thousands across multiple role times, job attributes, and for a range of business lines.
Extension
Typical Day in the Role:
Conversion to FTE: Yes
Interaction With Team
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 how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.
In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low cost environment to flow information from the source systems to data warehouse into end-user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making.
Compelling Story & Candidate Value Proposition
Selling Points
AWS backed Data engineering environment
Python/SQL/Big data tech stack
Leadership Principles
Candidate Requirements:
Deliver Results
Bias for action
Insist on high standards
Think Big
Performance Indicators
- AWS Certified, SQL certified
Top 3 Must-have Hard Skills
Advanced SQL
ETL /Data engineering/Big data
Python
About Us
Harvey Nash is a national, full-service talent management firm specializing in technology positions. Our company was founded with a mission to serve as the talent partner of choice for the information technology industry.
Our company vision has led us to incredible growth and success in a relatively short period of time and continues to guide us today. We are committed to operating with the highest possible standards of honesty, integrity, and a passionate commitment to our clients, consultants, and employees.
Utilizing our proprietary Predictive Staffing model, our company has enjoyed more than a decade of rapid growth, earning our reputation as a client-focused, efficient provider across a broad range of industries. Today, we serve top Fortune 1000 and successful privately held companies all over the country, still operating under the simple idea that great people aligned under a common vision can achieve tremendous results.
We are part of Harvey Nash Group, a global professional services organization with over forty offices worldwide.
For more information, please visit us at https://www.harveynashusa.com/
Submit CV To All Data Science Job Consultants Across United States For Free

