Data Engineer
3d ago
source : Shine

Amazon is seeking an outstanding Data engineer to join Amazon's Customer Support BI team to build and support the Data and BI platform and to drive the adoption of new BI technologies to support the rapidly growing and dynamic business and to have an immediate influence on day-to-day decision making at Amazon.

The Amazon Customer Support Platform processes thousands of transactions every day across multiple countries and languages.

The Amazon CS BI team stands squarely in the intersection of these systems, helping Amazon and its partners understand what the business did yesterday and influencing where it is going tomorrow.

It delivers business intelligence to over hundreds of diverse community of internal customers from one of the world s largest and most complex data sets.

Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.

Amazon CS BI is a fast paced environment where every day brings new challenges and new opportunities. As a Data Engineer, you will be developing and supporting a Data and BI platform to address some of the unique challenges in this space.

You will be responsible for designing and implementing a solution using third-party and in-house technologies which will handle the growing business needs.

Design, implement, and support a platform providing secured access to large datasets using Big data, Redshift, No SQL databases

Interface with Tech Lead, and help delivering complete Data and BI solutions.

Model data and metadata to support ad-hoc and pre-built reporting.Design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.

to drive key business decisions.

Recognize and adopt best practices in reporting and analysis : data integrity, test design, analysis, validation, and documentation.

Tune application and query performance using Unix profiling tools and SQL.

Respond to high priority requests from senior business leaders., The ideal candidate would have excellent analytical abilities, strong technical skills, superior written and verbal communication skills, and the ability to influence and lead cross-functional teams.

S / he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.

Work closely with Customer Support teams and the broader BI community.

5+ years of relevant experience in Data engineering role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.

Bachelor s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline.

Good knowledge of Big data , RedShift , SQL, Linux, Oracle and OLAP.

Experience in Programming language and Scrpting

Knowledge of data warehousing concepts.

Knowledge and direct experience using business intelligence reporting tool - Microstrategy. Experience in other reporting tools is a value add

Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.

Knowledge of AWS Infrastructure, Redshift

Any Hadoop, NoSQL Database & Technology

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