Amazon Hiring Data Engineer I in Karnataka | Onsite

Job Overview

Amazon is hiring a Data Engineer I for its ADCI team in Karnataka. The role focuses on building and maintaining data engineering and reporting infrastructure, designing data ingestion flows, and enabling reliable access to large datasets for business and technical teams.

The position is part of the Data Insights, Metrics & Reporting (DIMR) team within Amazon Warehousing & Distribution. The team supports data pipelines, reporting infrastructure, data delivery, and data marts for a range of internal and external use cases.

Key Responsibilities

• Work with software development engineering teams and business stakeholders to understand data requirements and design data ingestion flows.
• Design, model, and implement large, evolving structured, semi-structured, and unstructured datasets.
• Evaluate and implement efficient distributed storage and query techniques.
• Integrate with internal and external teams and systems to extract, transform, and load data from multiple sources.
• Write robust, maintainable code and keep technical documentation clear and current.
• Implement automated tests, including unit and integration testing, for developed code.
• Work with a technology stack that combines AWS services (referred to as NAWS in the job description) and legacy ETL tools used within Amazon.

Required Skills and Experience

• At least 1 year of data engineering experience.
• Experience with data modelling, data warehousing, and building ETL pipelines.
• Experience with at least one query language, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
• Experience with at least one scripting language, such as Python or KornShell.
• Ability to work with technical teams and business stakeholders to understand data requirements and communicate data concepts clearly.

Preferred Skills

• Experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
• Experience with ETL tools such as Informatica, ODI, SSIS, BODI, or DataStage.

Data Engineering Team

The DIMR team builds and maintains data engineering and reporting infrastructure, develops ingestion pipelines from sources such as real-time event streams, data lakes, and manual file uploads, and provides mechanisms for sharing data with internal teams or external sellers using appropriate data-handling practices.

The team also develops data marts to support varied use cases, including those powered by generative AI tools.

Work Mode and Location

The role is listed under ADCI - Karnataka. The job description does not specify a remote or hybrid arrangement, so the configured work mode is onsite. Confirm the exact work location and work arrangement in the official Amazon listing before applying.

Who Should Apply?

This opportunity is relevant to candidates with at least one year of data engineering experience and practical skills in data modelling, warehousing, ETL pipelines, query languages, and scripting. Candidates with exposure to distributed data processing and established ETL tools may also be a good match.

How to Apply

Review the official job listing for the complete application details. Highlight relevant data engineering projects, ETL pipeline experience, data modelling and warehousing work, query-language skills, scripting experience, and any applicable big data or ETL tools in your application.

Apply now through SoftoJobs to explore this opportunity.