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Data Engineer, Amazon

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Amazon

Feb 3

Applications are closed

  • Job
    Full-time
    Junior Level
  • Data
    IT & Cybersecurity

Requirements

  • 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)
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Responsibilities

  • 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.

FAQs

What is the primary focus of the Data Engineer position at Amazon?

The primary focus is on developing analytics and insights for the Consumer Payments organization, with an emphasis on acquiring new merchants and establishing data structures for high-volume, high-performance analytics and reporting.

What qualifications are required for this role?

The role requires at least 1+ years of data engineering experience, proficiency in SQL, experience with data modeling and building ETL pipelines, as well as familiarity with various query and scripting languages.

What technologies and tools should a candidate be familiar with?

Candidates should have experience with SQL, ETL processes, data warehousing, as well as big data technologies such as Hadoop, Hive, and Spark. Knowledge of ETL tools like Informatica, ODI, SSIS, and Datastage is also preferred.

Will the Data Engineer be working in a global environment?

Yes, the position will interact with global leaders and teams in regions such as Europe, Japan, and the US, requiring collaboration with diverse teams.

What are the main responsibilities of the Data Engineer in this role?

Main responsibilities include designing and implementing large-scale data structures, building robust data integration pipelines, improving reporting processes, and collaborating with various teams for insights and analytics.

Is there room for growth within the company for this position?

Yes, the role offers opportunities to be part of a team that is building analytical experiences from the ground up, providing potential for career advancement and development within Amazon.

What soft skills are essential for this position?

Essential soft skills include being highly analytical, resourceful, customer-focused, team-oriented, and possessing the ability to work independently under time constraints.

Is there a specific location for this job?

Yes, the position is based in Karnataka, India.

Are there any accommodations available for applicants with disabilities?

Yes, Amazon provides accommodations for applicants with disabilities during the application and hiring process. For more information, candidates can visit the Amazon accommodations webpage.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

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. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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