Data Engineer III

Job description

DESCRIPTION

Amazon’s mission is to be the most customer centric company in the world and Workforce Staffing, the organization responsible for hourly associate hiring globally, is on the front lines of that mission and will be your core customer in this role.

The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, KPI analysis and reporting, predictive modeling, and data engineering. Are you passionate about data? Do you enjoy questioning the status quo? Do complex and difficult challenges excite you? If yes, this may be the team for you.

As a Data Engineer in Workforce Intelligence team, you will have the opportunity to display and develop your skills in the following areas:
· Interface with PMs, business customers, data scientists, research scientists, business intelligence engineers and software developers to understand requirements and implement solutions which will have an immediate influence on day-to-day decision making.
· Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies providing ad hoc access to large datasets and computing power
· Explore and learn the latest AWS big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture
· Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation

PREFERRED QUALIFICATIONS

· Experience with building data pipelines and applications to stream and process datasets at low latencies.
· Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
· Sound knowledge of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
· Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing.
· Experience with AWS Tools and Technologies (S3, EC2, Data Pipeline, Lambdas, Redshift, Aurora DB, Dynamo DB, Kinesis Streams etc.).
· Experience in handling Infrastructure as code and orchestration as code.
· Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space

Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Desired profile

BASIC QUALIFICATIONS

· Degree in Computer Science, Engineering, Mathematics, or a related field and 7+ years industry experience
· Experience in data modeling, ETL development, and data warehousing
· Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
· Advanced SQL and query performance tuning skills.
· Coding proficiency in at least one modern programming language (e.g. Python, Java).
· Experience operating very large data warehouses or data lakes.
· Strong customer focus, ownership, urgency and drive.
· Excellent communication skills and the ability to work well in a team.
· Effective analytical, troubleshooting and problem-solving skills.
· Mentor team members