Job Summary
Location
Andhra Pradesh,Hyderabad
Experience
3 - 6 years
Skills
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
15 Jun 2021
 
Data Engineer
Amazon
Posted on: 16 Apr 2021
Job Description


Job Description :
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot


SCOT's Automated Inventory Management (AIM) team is seeking talented individuals who enjoy the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful business decisions. AIM teams owns Availability metrics that measures & improves the key customer experience on product availability. We regularly work directly with executive leadership to improve that experience.

As a data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. You will also work with a team of Product Managers, data Scientists, and Software Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, implement new data pipelines that feed into or from critical data systems at Amazon.


Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.


Our diversity, measured by thought, gender and culture, is paramount to our ability to meet the evolving needs of our customers. Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Basic Qualifications :
3+ years of experience as a data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL
Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
5+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, etc.)
Knowledge of data management fundamentals and data storage principles
Build robust and scalable data pipelines using a range of tools and programming languages.
Knowledge of distributed systems as it pertains to data storage and computing
Preferred Qualifications :
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Implement standardized, automated operational processes to deliver accurate and timely data for reporting to meet or exceed SLAs
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 data Engineers for best practices on data engineering
Experience working directly with remote technical teams
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