Amazon is hiring for Data Engineer, IN Data Engineering & Analytics | Apply Now!

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Amazon is hiring for the position of Data Engineer, IN Data Engineering & Analytics in Bangalore, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.

Job Description:

Company NameAmazon
PositionData Engineer, IN Data Engineering & Analytics
QualificationsBachelor’s/ Master’s Degree
BatchAny Batch
Experience1+ (Years)
LocationBengaluru, India

Key Responsibilities:

  • Design and implement data and analytics solutions, overseeing the management of our extensive data infrastructure to meet the analytics requirements of Amazon IN.
  • Develop solutions aimed at achieving Best At Amazon (BAA) standards for data availability, consistency, and compliance.
  • Collaborate with other technology teams to extract, transform, and load data from diverse sources, utilizing SQL, Amazon, and AWS big data technologies.
  • Champion operational excellence within the team, devising automations and mechanisms to streamline operations effectively.
  • Facilitate efficient data exploration and experimentation with large datasets on our platform, implementing data access control mechanisms for standalone datasets.
  • Architect and deploy scalable and cost-effective data and analytics infrastructure to support use cases beyond Amazon IN, including Emerging Marketplaces and Worldwide scenarios, on our data platform.
  • Demonstrate strong verbal and written communication skills, self-motivation, and a commitment to delivering high-quality results in a dynamic work environment.
  • Collaborate closely with peers, contributing to a team of highly skilled and talented engineers.

Eligibility Criteria:

  • Possesses at least 1 year of experience in data engineering.
  • Demonstrates proficiency with SQL.
  • Skilled in data modeling, warehousing, and constructing ETL pipelines.
  • Proficient in at least one scripting language (e.g., Python, KornShell).
  • Familiarity with data visualization software (e.g., AWS QuickSight or Tableau) or open-source alternatives.

Preferred skills:

  • Experience working with big data technologies such as Hadoop, Hive, Spark, and EMR.
  • Familiarity with any ETL tool such as Informatica, ODI, SSIS, BODI, Datastage, etc.
  • Knowledge of AWS Infrastructure.

About Company:

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

How To Apply?

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  • 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.

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