Amazon

Software Development, Data Engineering, consumerpayments

DataEngineer

₹15–25L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer at Amazon. Skills: Data engineering, ETL pipelines, Data modeling, Business intelligence. Design data structures. Develop data structures”

What You'll Achieve.

Successfully delivering results

Industry & Context.

Software Development, Data Engineering, consumerpayments
Problems you'll solve

Quantitative analysis; Analytical skills

What They're Looking For.

Must Have

2+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with one or more query language, Experience with one or more scripting language

Nice to Have

Experience with big data technologies, Experience with any ETL tool

What You'll Do.

Design data structures

Develop data structures

Implement data structures

Operate data structures

Implement data structures using best practices

Model data and metadata

Work with product tech teams

Build data integration pipelines

Improve reporting processes

Simplify self-service support

Interface with business customers

Deliver reporting solutions

Collaborate with Analysts

Collaborate with Business Intelligence Engineers

Collaborate with Product Managers

Participate in planning discussions

Participate in budget processes

Communicate with business teams

Communicate with tech teams

Communicate with other Data teams

How You'll Work.

Team & Collaboration

Product tech teams; Business customers; Analysts; Business Intelligence Engineers; Product Managers; Product teams; Business teams; Tech teams; Data teams

Communication Scope

Communicate effectively

Process & Methodology

Strategic planning, Tactical planning

Full Job Description

Amazon’s Amazon Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe, China, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Interface with business customers, gathering requirements and delivering complete reporting solutions. Collaborate with Analysts, Business Intel

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