Apply now for the position of Data Engineer I, Data & Analytics at Amazon!

Data Engineer I

In Bangalore, India, Amazon is hiring for the role of Data Engineer I, Data & Analytics. Candidates may apply for this post if they have a bachelor’s degree. Below are the qualifications, eligibility conditions, and full details.

Job Description:

Company NameAmazon
PositionData Engineer I, Data & Analytics
QualificationsBachelor’s Degree
Batch2018/ 2019/ 2020/ 2021/ 2022/ 2023
Experience1+ Years)
LocationBangalore, India

Key Responsibilities:

  • Key duties include creating and implementing the architecture for business intelligence and next-generation data pipelines.
  • Create and provide top-notch data architecture and pipelines to satisfy the demands of data scientists, business analysts, and customer reporting.
  • Work together with other tech teams to load, retrieve, and process data from various sources.
  • Improve reporting and analytical procedures on an ongoing basis, emphasizing automation and client self-service support that is easier to use.
  • You will deal with a wide range of technical issues in your role as a WWGS Data & Analytics Data Engineer.
  • Both inside and outside the team, you will collaborate closely with analysts, product managers, program managers, business intelligence engineers, data engineers, and software engineers.
  • Large, complicated datasets will be converted into automatic, clearly comprehensible analytical answers by you.
  • Working with Amazon and other technology experts within the company, you will actively contribute to converting business needs into workable solutions and prototype prototypes.
  • You will plan, create, and implement dependable distributed solutions that satisfy Amazon’s scalability specifications.
  • AWS services, SQL, Python, Scala, and other fundamental languages and technologies will be used in your work.
  • Every day, you will take on fresh and different issues that will give you the chance to reshape industry norms.
  • You will work with a variety of teams from WWGS Data & Analytics and Amazon.
  • You will gain a great deal of knowledge, have fun, and help a lot of people.
  • Above all, you will support our Higher Purpose of Nourishing.

Eligibility Criteria:

  • A bachelor’s degree or above in a quantitative or technical discipline, such as computer science, statistics, or engineering, is required for eligibility.
  • one or more years of data engineering experience.
  • strong background in large dataset data processing system design, implementation, and management.
  • knowledge of at least one contemporary programming language, like Python, Scala, or Java.
  • advanced SQL knowledge and practical experience.
  • strong grasp of the foundations of data management and data storage.
  • competence with distributed systems, especially with regard to cloud computing and data storage.

Preferred Skills:

  • Proven ability to independently manage and deliver end-to-end projects.
  • Relevant experience in fields like Data Engineering, Database Engineering, Business Intelligence, or Business Analytics.
  • Documented success in implementing robust big data solutions.
  • Proficiency in both batch and real-time data processing systems.
  • Strong understanding of software development practices throughout the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

About Company:

Amazon is driven by four guiding principles: a focus on the customer rather than rivals, a love of innovation, a dedication to operational quality, and long-term planning. The thrill of developing technologies, creating goods, and offering services that transform lives is what motivates us. We make judgments fast, welcome fresh approaches, and don’t fear failure. We possess the energy and heart of a small business combined with the size and capabilities of a large one.

How To Apply?

  • First, read through all of the job details on this page.
  • Scroll down and press the Click Here button.
  • To be redirected to the official website, click on the apply link.
  • Fill the details with the information provided.
  • Before submitting the application, cross-check the information you’ve provided.

Apply Link: Click Here

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