Data Engineer I

Campus Engineerhub Private Limited; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Amazon in Bengaluru is seeking a data engineer to join the Data Insights, Metrics & Reporting team. You will design data ingress flows, model large datasets, and implement robust ETL pipelines to support internal data needs.

The role requires familiarity with big data tools and scripting languages, with collaboration across internal teams and external sources. A strong emphasis on test automation and maintainable code is essential.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages (SQL, HiveQL, SparkSQL).
• Experience with scripting languages (Python, KornShell).

Responsibilities

• Design data ingress flow for team and stakeholders.
• Lead design, model, and implementation of large, evolving datasets.
• Evaluate and implement distributed storage and query techniques.
• Extract, transform, and load data from diverse sources.
• Write robust, well-documented code with tests and automation.
• Collaborate with NAWS services and legacy ETL tools within Amazon.

Skills

Data modeling

ETL pipelines

SQL / HiveQL / SparkSQL

Python

Scala

KornShell

Big data tools

Tools

Informatica

SSIS

Datastage

Job description

Job Description

Key job responsibilities

• Work with SDE teams and business stakeholders to understand data requirements and design data ingress flow for team
• Lead the design, model, and implementation of large, evolving, structured, semi-structured and unstructured datasets
• Evaluate and implement efficient distributed storage and query techniques
• Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources
• Implement robust and maintainable code with clear and maintained documentation
• Implement test automation on code implemented through unit testing and integration testing
• Work in a tech stack which is a mix of NAWS services and legacy ETL tools within Amazon

About The Team

Data Insights, Metrics & Reporting team (DIMR) is the central data engineering team in Amazon Warehousing & Distribution org which is responsible for 4 things mainly -

• Building and maintaining data engineering and reporting infrastructure using NAWS to support internal/external data use-cases.
• Building data ingestions pipelines from any kind of upstream data sources which include (but not limited to) real time event streaming services, data lakes, manual file uploads, etc.
• Building mechanisms to vend data to internal team members or external sellers with right data handling techniques in place.
• Build robust data mart to support diverse use-cases powered by GenAI tool.

Basic Qualifications

• 1+ years of data engineering experience
• 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)

Preferred Qualifications

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

Application Start Date

20 Oct 2026

Application End Date

28 Oct 2026