Job details
Job type full-time
Full job description
Degree in computer science, engineering, mathematics, or a related field or 5+ years industry experience · 5+ years of experience with demonstrated strength in etl/elt, modeling, warehouse technical architecture, infrastructure components and reporting/analytic tools· 5+ years of hands-on experience in writing complex, highly-optimized sql queries across large sets· 3+ years of experience in scripting languages like python etc.
Job summary
At amazon, we`re working to be the most customer-centric company on earthTo get there, we need exceptionally talented, bright, innovative and driven leadersIf you`d like to help us build the place to find and buy anything on-line, this is your chance to make history and be intimately involved in growing our business by leading and supporting hourly staffing initiatives.
The vision of workforce intelligence is to design the ideal workforce to meet the customer promise anywhereThe workforce intelligence team applies data and insights to optimize the experience and operations for amazon’s largest candidate population – tier 1 associates (front-line associates), who bring the magic of amazon’s industry-leading customer fulfillment experience to lifeThis organization leads and influences global workforce strategies that enable amazon to scale more efficiently while also providing a unique voice for the hourly workforceThis is accomplished through a variety of science driven initiatives, kpi analysis and reporting, predictive modeling, and data engineeringAmazon’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 roleThe workforce intelligence team supports the workforce staffing organization by transforming data into insights on high volume hiring within amazonWhile wfs is responsible for the management of the tier 1 talent supply chain, the workforce intelligence team in particular focuses on defining analytics that measure the performance of the programWhile we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.
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-effectiveThe role will drive wfi for wfs across the apac regionYou strive for simplicity, demonstrate creativity and sound judgementYou deliver data solutions that are customer focused, easy to consume and create business impactYou are passionate about working with huge datasets and have experience with the organization and curation of data for analyticsYou have a strategic and long term view on architecting advanced data eco systemsYou 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.
In this role, you have the opportunity to:
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.
Key job responsibilities
As a data engineer with workforce intelligence, you will partner with software engineers, data scientists and business intelligence engineersYou 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 intelligenceYou will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our dataIn 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 quicksightAbove all, you will bring large datasets together to answer business questions and drive data-driven decision making.
· industry experience as a engineer or related specialty (e.g., software business intelligence scientist) with a track record of manipulating, processing, and extracting value from large sets· experience building/operating highly available, distributed systems of extraction, ingestion, and processing of large sets · experience building products incrementally and integrating and managing sets from multiple sources · experience leading large-scale warehousing and analytics projects, including using aws technologies – redshift, s3, ec2, etc· experience providing technical leadership and mentor other engineers for the best practices on the engineering space · linux/unix· experience with aws · a desire to work in a collaborative, intellectually curious environmentAmazon is committed to a diverse and inclusive workplaceAmazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Posted 10 days ago
