Data Engineer I, Data Engineer RBS

Amazon; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Amazon is seeking a Data Engineer in Bengaluru, Karnataka, to support Retail Business Services. The role involves implementing data ingestion routines, designing scalable data solutions, and automating reporting processes. Candidates should have at least 1+ years of data engineering experience, expertise in SQL, and a Bachelor’s degree in a related field. Preferred qualifications include experience with big data technologies like Hadoop, Spark, and Hive. This is a full-time position offering impactful responsibilities in a dynamic environment.

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL and data modeling.
• Experience with one or more scripting languages.

Responsibilities

• Implement data ingestion routines using best practices.
• Design and operate high-performance data for analysis.
• Gather and translate business requirements into solutions.

Skills

SQL

Data engineering

Data modeling

ETL pipelines

Python

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related fields

Tools

Hadoop

Spark

Hive

Job description

Description

Retail Business Services (RBS) supports Amazon’s Retail business growth worldwide through three core tasks: (a) Selection, where RBS sources, creates and enriches ASINs to drive GMS growth; (b) Defect Elimination, where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow; and (c) supporting operational processes for worldwide Retail teams.

Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify and fix the right catalog defect to provide a good shopping experience for our customers.

Job Responsibilities

• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
• Design, implement and operate large-scale, high-volume, high-performance data for analysis and data science.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.

Basic Qualifications

• 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)
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related fields

Preferred Qualifications

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