Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The competitive pricing team is responsible for ensuring that we earn and keep our customer trust around our low prices. This involves ensuring for all the products that are sold on Amazon marketplaces worldwide, customers get the best price. Data engineering team - a part of pricing Big Data team - is responsible for building and maintaining the data platform that helps Amazon businesses worldwide in maintaining price competitiveness. By collating and transforming large amount of data from various sources, exposing pricing gaps via dashboards and reports and providing ability to deep dive and extract insights, data engineering team helps in improving operational efficiency and meeting business goals around pricing.You will be part of team that will work with the tech, analytics, product, machine learning and technology teams to provide real time data processing solution that give Amazon leadership, PMs timely, flexible and structured access to customer insights. The team will be responsible for building this platform end to end using latest AWS technologies and software development principles.As a Data Engineer , you will be responsible for leading the architecture, design and development of the data, metrics and reporting platform for Pricing. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our Development Engineers, Analysts and Retail business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies. You will partner with business leaders to drive strategy and prioritize projects and feature sets. You will also write and review business cases and drive the development process from design to release. In addition, you will provide technical leadership and mentoring for a team of highly capable Data Engineers.Key job responsibilities1. Own design and execution of end to end projects2. Own managing Amazon Pricing services data infrastructure3. Build end to end Data Pipeline for Amazon Pricing4. Establish key relationships which span Amazon business units and Business Intelligence teams5. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs
Locations
India, KA, Bengaluru, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
1,200,000 - 2,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 2+ years of data engineering experienceintermediate
- Experience with SQLintermediate
- Experience with data modeling, warehousing and building ETL pipelinesintermediate
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)intermediate
- Experience with one or more scripting language (e.g., Python, KornShell)intermediate
Required Qualifications
- 2+ years of data engineering experience (experience, 2 years)
- Experience with SQL (experience)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) (experience)
- Experience with one or more scripting language (e.g., Python, KornShell) (experience)
- Bachelor's degree or equivalent (degree in equivalent)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR (experience)
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. (experience)
Responsibilities
1. Own design and execution of end to end projects
2. Own managing Amazon Pricing services data infrastructure
3. Build end to end Data Pipeline for Amazon Pricing
4. Establish key relationships which span Amazon business units and Business Intelligence teams
5. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs
Target Your Resume for "Data Engineer I, CMT Dataplatform & Analytics"
Get personalized recommendations to optimize your resume specifically for Data Engineer I, CMT Dataplatform & Analytics. Our AI analyzes job requirements and tailors your resume to maximize your chances.
Keyword optimization
Skills matching
Experience alignment
Check Your ATS Score for "Data Engineer I, CMT Dataplatform & Analytics"
Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.