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Urgent! Data Engineer II Job Opening In India, India – Now Hiring Amazon
This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Please do not contact the recruiter directly.
DESCRIPTION:
Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers.
These business teams using Paragon are our enterprise customers.
Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, cross-cutting services such as tenant configuration, case storage, security, and data insights and analytic.
The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance.
They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment.
You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence.
We're looking for experienced technical leaders.
The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance.
They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment.
You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence.
We're looking for experienced technical leaders.
Key job responsibilities
1.
Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.
2.
Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
3.
Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets
4.
Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform
5.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies
6.
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
7.
Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
8.
Enjoy working closely with your peers in a group of very smart and talented engineers.
BASIC QUALIFICATIONS:
- 3+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
PREFERRED QUALIFICATIONS:
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 676369 jobs in India and 46873 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Amazon is currently hiring and seeking a Data Engineer II to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer II Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer II Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer II typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer II interview at Amazon, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Amazon's products or services and be prepared to discuss how you can contribute to their success.
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