Data Engineer

Arlington, Virginia, USA

Full Time
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Posted 3 weeks ago

Amazon is one of the largest employers on the planet with hundreds of thousands of employees across the globe. Amazon's HR mission is to build a workplace for Amazonians to invent on behalf of our customers. We are enablers to help Amazon scale quickly and efficiently as we continue to expand rapidly across countries, business lines and size in general. The volume of internal human resource transactions and range of experiences to fulfill in this scale and diversity are massive and unique respectively. This requires a highly reliable, scalable and customized series of software applications that ensure our global employee base receives accurate, timely and best experiences throughout their employee lifecycle. Amazon has grown significantly since the deployment of these tools and we are now at an inflection point where we are making long term decisions to support our explosive global growth.

Our Time and Attendance group is seeking a bright and motivated Data Engineer for leading the launch of timekeeping systems to support business expansions and deliver automations to achieve process efficiency and perfect pay for associates.

Job Responsibilities:

· Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.
· Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications.
· Build integrations between HR, Time & Attendance and Payroll systems to automate employee hire, schedule, punch and pay.
· Designs data integrations and data quality framework.
· Develops and maintains scalable data pipelines and builds out new API integrations.
· Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, and Oracle.
· Manage stakeholder communication, prioritization of tasks and on time solution delivery.
· Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
· Produce comprehensive, usable dataset documentation and metadata.
· Design and develop operational and analytical reports as per the customer needs by using the tools.
· Evaluate and make decisions around the use of new or existing software products and tools.

Basic Qualifications


· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
· 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
· Knowledge of data management fundamentals and data storage principles
· A desire to work in a collaborative, intellectually curious environment

Preferred Qualifications

· Experience in Kronos as application developer or engineer
· End to end understanding of HR processes from Hire to time capture to payroll.
· Functional knowledge of Time and Attendance or Workforce Management domains.
· Experience with WIM interfaces involving integrating employee data with Kronos, outbound integrations to payroll vendors.
· Good understanding of Kronos database table structures and their inter-relationships.
· Strong SQL skills with experience in writing complex SQLs, materialized views, high performance queries.
· Experience with AWS services such as S3 and RDS.
· Experience with Big Data Technologies.
· A desire to work in a collaborative, intellectually curious environment.
· Strong written and verbal communication skills across diverse audiences.

Job tags: AWS Big Data Business Intelligence Data pipelines Data Warehousing Engineering ETL Oracle SQL
Job region(s): North America
Job stats:  23  4  0
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