Amazon Hiring Drive 2024 For Data Engineer | Location Bengaluru

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Amazon Hiring Drive 2024: Amazon Hiring Drive 2024 for its Data Engineer. Amazon Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: Amazon

Role: Data Engineer

Location: Bengaluru

Experience:1+ years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: 14.0 LPA (Expected)

Amazon Hiring Drive 2024

Job Description:

  • Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights.
  • You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment.
  • In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses.
  • Our team offers a unique opportunity to build a new set of analytical experiences from the ground up.
  • You will be part the team that is focused on acquiring new merchants from around the world to payments around the world.
  • The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions.
  • You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.
  • You will be comfortable thinking big and diving deep.
  • A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred


  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
  • 1+ years of data engineering experience
  • Experience with SQL
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)


  • Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting.
  • Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting.
  • Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
  • Interface with business customers, gathering requirements and delivering complete reporting solutions.
  • Collaborate with Analysts, Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning.
  • Participate in strategic & tactical planning discussions, including annual budget processes.
  • Communicate effectively with product/business/tech-teams/other Data teams

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