AMAZON Hiring Data Engineer in India Salary starts from ₹14,30,934/year Apply Online

Company:	AMAZON
Job Role:	Data Engineer.
Experience:	(2-3 years).
Vacancy:	20+
Qualification:	Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
Salary:	₹14,30,934/year.
Location:	Bangalore - Karnataka - India.
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Apply Mode:	(Online)
Deadline:	Not Mentioned

About the Company:

Amazon's core principles include customer obsession over competitor focus, passion for invention, operational excellence, and long-term thinking. Changing lives through technologies, products and services drives us forward. Our company embraces new ways of doing things, makes decisions quickly, and is not averse to failing. In addition to our scale and capabilities, we have the spirit and heart of a little company. As Amazonians, we develop new technologies on behalf of consumers, sellers, content creators, and developers around the world, including Amazon Web Services and Alexa. Customer-centricity is our mission. The customer is at the center of all our actions, goals, programs, and innovations. Amazon also says it's always "Day 1." What do we mean by that? Taking smart, fast decisions, being nimble, innovating, and looking out for our customers remains our approach just as it was on Amazon's first day.

Description:

AWS lands more server capacity daily than was used to run the entirety of Amazon.com in the year 2004 when it was already a $7B/year business. The AWS supply chain needs to be optimized with new software and tools to handle this massive growth. As part of our new generation of supply chain management (AWS_SCM) services, we automate and optimize supply chain planning, budgeting, procurement, cataloging, inventory management, vendor management, and payments. All of these projects represent a rare opportunity to build systems from the ground up. As a member of a new organization within AWS, you will build large-scale distributed applications.  

The Data Engineer on the AWS SCM execution teams will design and architect a data system that can scale to support a range of business requirements. Execution teams are responsible for supply chain execution, which includes planning, ordering, shipping, vendor management, production schedule management, and inventory planning. DEs in this role would be able to provide execution-related data to customers and assist leadership and product in validating various hypotheses with data. Business processes are improved, data extraction skills are leveraged to engineer reporting mechanisms, and supply chain execution is improved. Effective communication needs to be demonstrated across a wide range of technical and nontechnical teams, and across different regions. Members of this team collaborate effectively to solve problems, implement new solutions, and deliver successfully according to high operational standards.

Data mining and model building skills are essential, as well as experience facilitating ideation and executing on concept. The role will also build the tools and support structures needed to analyze data. You will develop the data architecture components that scale for the ever-evolving data needs in this team as a Data Engineer. Big data warehousing problems will be solved on a massive scale for you. Using AWS services, you will solve challenging problems related to big data processing, data warehouse design, and enabling self-service. You will be responsible for automating and optimizing all aspects of DW/ETL maintenance and deployment. You will work closely with business intelligence engineers and software development teams on several non-standard and unique business problems, and use your creative problem-solving skills to deliver actionable results. As a Sr. Data Engineer at Amazon, you will need excellent technical skills in order to develop systems and tools for processing data, as well as the ability to analyze data.

The candidate must have demonstrated ability to manage medium to large-scale data modeling projects, identify requirements and tools, and implement data warehousing solutions and tools that are explainable and scalable. Besides technical skills, possess strong written and verbal communication skills, strong focus on internal customers with a professional demeanor. Have a high level of intellectual curiosity with the ability to learn new concepts/frameworks and technology rapidly as changes occur.

Core responsibilities may include:

• Provide ad-hoc access to large datasets and computing power by designing, implementing, and supporting an analytical data infrastructure.
• Work with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Build deep domain knowledge about AWS Supply Chain.
• Strong verbal and written communication skills, self-directed, and able to deliver high quality results in a fast-paced environment.
• Enjoy working with a group of talented and smart engineers.
• Providing ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Explore and learn the latest AWS technologies to increase efficiency and provide new capabilities

Basic Qualification:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• Experience in Data Engineering, BI Engineer, or a related field
• Data management fundamentals and data storage principles
• Expertise in SQL, DynamoDB, etc.
• Demonstrated expertise in data modeling, ETL development, and data warehousing
• Knowledge of distributed systems as it pertains to data storage and computing

Preferred Qualification:

• 3+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources.
• Extensive experience building and operating highly available, distributed data extraction, ingestion, and processing systems
• Worked with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis, and Lambda)
• Communicate with users, other technical teams, and senior management to collect requirements, describe data modeling decisions, and formulate a data engineering strategy.
• Extensive experience providing technical leadership and mentoring other engineers on data engineering best practices
• Knowledge of best practices in software engineering across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us

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