Data Engineer I

Job description

DESCRIPTION

The TRON team is an initiative which partners with the Amazon Robotics team to remotely handle exceptions in the Amazon Robotic Fulfillment Centers in North America. The TRON technology enables the human supervisory control of automated tasks. In the TRON system, a remote associate provides supervisory control when automated tasks fail for any reason. This allows us to avoid falling into the 90/10 trap where a task can be 90% automated but requires 90% of the time for the last 10% of functionality. Our strategy is to employ a human-as-sensor model and allow humans to perform just those portions of a task that require higher order cognitive ability.
TRON team is looking for a Data Engineer. As a Data Engineer on TRON team your responsibilities will include

Responsibilities include:
· Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the Data Engineering ecosystem to design systems that meet business needs.
· Play a leading role in building systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices.
· Play a leading role in architecture design and implementation of next generation BI solutions using Big Data and AWS Services.
· Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.
· Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines.
· Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts.
· Peer review work. Actively mentor more junior members of the team, improving their skills, their knowledge of our systems and their ability to get things done.
Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.

PREFERRED QUALIFICATIONS

· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
· Experience providing technical leadership and mentoring other engineers for best practices on data engineering
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief

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Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
· 3+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
· 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
· 2+ years of experience in scripting languages like Python etc.
· Demonstrated strength in data modeling, ETL development, and Data warehousing.
· Experience with AWS services including S3, Redshift, EMR and RDS.
· Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
· Experience in working and delivering end-to-end projects independently.
· Knowledge of distributed systems as it pertains to data storage and computing