Job Summary
Location
Maharashtra,Pune
Experience
1 - 4 years
Skills
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
25 May 2021
 
Data Engineer
Amazon
Posted on: 26 Mar 2021
Job Description


Job Description :

You are self-motivated. You think like an entrepreneur, constantly innovating and driving positive change, but more importantly, you consistently deliver mind-boggling results. A role at Zappos is an opportunity to be a part of something different. To go bold. Were a company that isnt afraid to take risks and question the status quo. Oh yeah, we like to have fun too. This position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects.

The Zappos Digital customer experience team is seeking a data Engineer II to join its analytics team. 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, Business Intelligence Enginners, 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 :
1+ years of experience as a data Engineer or in a similar role
Experience with data warehousing, and building ETL pipelines
Experience in SQL
Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
1+ 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
1+ years of hands-on experience in writing complex, optimized SQL queries and coding in scripting languages like Python, Shell Scripting, 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
Experience with data visualization software (Tableau/Quicksight)
Experience with AWS Technologies (EMR/Redshift/ S3/ Presto/Spark/Athena)
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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