水平: Technical Support Engineer

工作类型: Full Time, Permanent

薪水: ₹ 50,000 - 2,00,000 P.A.

经验: 6 - 11 years

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工作内容

Payroll Technology at Amazon is all about enabling our business to perform at scale as efficiently as possible with no defects.

As Amazon’s workforce grows, both in size and geography, Amazon’s payroll operations become increasingly complex, and our customers are asked to do more with less.

Process can only get them so far, and that’s where we come in with technology solutions to integrate and automate systems, detect defects before payment, and provide insights.

As a data engineer in payroll, you will have to onboard payroll vendors across various geographies by building versatile and scalable design solutions.

Having strong written and verbal communication, and the ability to communicate with end users in non-technical terms, is vital to your long-term success.

The ideal candidate will have experience working with large datasets, distributed computing technologies and service-oriented architecture.

The candidate should relish working with large volumes of data, and enjoys the challenge of highly complex technical contexts.

He/she should be an expert with data modeling, ETL design and business intelligence tools and has hand-on knowledge on columnar databases.

He/she is a self-starter, comfortable with ambiguity, able to think big and enjoys working in a fast-paced team.

Responsibilities:

Design, build and own all the components of a high-volume data warehouse end to end.

Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting

Provide wing-to-wing data engineering support for project lifecycle execution (design, execution and risk assessment)

Interface with business customers, gathering requirements and delivering complete data & reporting solutions owning the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources

Own the functional and non-functional scaling of software systems in your ownership area.

Implement big data solutions for distributed computing.

Willing to learn and develop strong skillset in AWS technologies


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最后期限: 20-06-2024

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