Data Engineer I
Amazon is accepting applications for Data Engineer I in Bengaluru, Karnataka, under job ID 10582732 and the hiring entity ADCI – Karnataka. The role is part of the Data Insights, Metrics & Reporting team supporting Amazon Warehousing & Distribution. It requires at least one year of data-engineering experience, alongside practical experience in data modelling, warehousing, ETL, query languages and scripting.
Opening at a glance
- Employer: Amazon.
- Type: Job.
- Location and arrangement: Bengaluru, Karnataka, India — work mode not disclosed.
- Compensation: Not Disclosed.
- Experience: 1+ years of data engineering experience.
- Application deadline: Not Disclosed.
The team and the purpose of the role
The Data Insights, Metrics & Reporting team, abbreviated DIMR in the source, is the central data-engineering team within Amazon Warehousing & Distribution. Its remit includes engineering and reporting infrastructure, ingestion pipelines, controlled access to data and data marts supporting a range of uses, including GenAI-related work. The role therefore sits close to the systems that make business data available and usable.
Amazon’s description emphasises SQL, data modelling, Big Data and massively parallel processing systems. It also asks for the ability to explain complex concepts to nontechnical customers. This is not advertised as an internship or a beginner training course: the basic qualifications include at least one year of data-engineering experience.
Core responsibilities
The engineer works with software-development teams and business stakeholders to understand data requirements and design ingress flows. The datasets can be structured, semi-structured or unstructured, and they can evolve over time. The job includes evaluating distributed storage and query techniques and integrating with internal and external systems to extract, transform and load data from multiple sources.
- Design and implement data models and pipelines for changing datasets.
- Work with stakeholders to translate requirements into data flows.
- Evaluate efficient distributed storage and query approaches.
- Develop maintainable code and keep documentation current.
- Implement automated unit and integration testing.
- Work across Amazon’s stated mix of NAWS services and legacy ETL tools.
The team description also mentions upstream sources such as real-time event streams, data lakes and manual uploads. It refers to mechanisms for sharing data with internal teams or external sellers using appropriate data-handling techniques. Those details make reliability, maintainability and clear interfaces particularly relevant to the advertised work.
Basic qualifications
The first requirement is one or more years of data-engineering experience. Applicants also need experience with data modelling, warehousing and building ETL pipelines. The source requires experience with at least one query language and at least one scripting language, rather than claiming that every example named in the listing is mandatory.
Query-language examples include SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL and Scala. Scripting examples include Python and KornShell. Applicants should explain which tools they have actually used and for what purpose. The accessed basic-qualification section does not specify a degree-only requirement, so this article does not invent a compulsory qualification or graduation batch.
Preferred experience
Amazon lists experience with Big Data technologies such as Hadoop, Hive, Spark and EMR as preferred. Familiarity with an ETL tool such as Informatica, ODI, SSIS, BODI or Datastage is also preferred. These points should remain separate from the basic criteria; applicants should not mistake an illustrative technology list for a requirement to know every product.
The description also values practical problem-solving, learning new technologies and choosing tools according to the problem. A useful application will connect technical experience with an actual data need, rather than rely solely on a list of software names.
Location, compensation and deadline
The official location is Bengaluru, Karnataka, India. The accessed vacancy does not expressly confirm remote, hybrid or in-office working terms. A city location alone is not evidence that the role is work from home, nor is it being converted into an unsupported office-attendance rule. Confirm the arrangement with Amazon during recruitment.
No salary amount, application closing date or fixed employment duration is published in the accessed listing. These details remain not disclosed. The Apply control was available when checked, and the official search page labels the vacancy as posted on 19 October 2026. Its separate updated timestamp is not being used as the original posting date.
Preparing a relevant application
As practical Jobsii advice, describe a pipeline or warehouse project in terms of the data sources, transformations, model and consumers. Explain your own contribution, how you handled changes and how you checked output quality. If you implemented tests, improved query performance or maintained documentation, give concrete examples, since those responsibilities are present in the source.
Be accurate about the required year of experience. A course, certificate or internship should not automatically be described as equivalent professional employment without explaining its actual nature. The employer decides how it assesses relevant experience; Jobsii cannot promise that a particular background will qualify.
Applying safely
Use the exact Amazon job page for requisition 10582732 and its current Apply control. Amazon’s recruitment notice states that it does not request fees or deposits during recruitment. Do not treat an unsolicited payment request or a message claiming guaranteed selection as part of the official process.
The source also provides accommodation guidance for applicants who need support in the recruitment or onboarding process. Salary, work arrangement, joining terms and any additional screening requirements should be confirmed through Amazon’s official recruitment channels.
Application steps and source
- Open the exact source listing below and confirm the employer, role and current application availability.
- Read the complete requirements, compare them with your background and prepare an accurate profile or CV with relevant examples.
- Use the source page’s Apply control and follow its current instructions. Jobsii does not accept applications or select candidates for this opening.
Read the full Amazon listing and apply.
Source verified on 21 October 2026. This article explains the advertised opportunity; it is not an offer or a selection guarantee. Confirm payment, joining, reporting and other employment terms directly with the employer before accepting.
