Amazon Hiring Data Engineer I in Bengaluru | Full Time

Job Overview

Amazon's Selling Partner Insights and Analytics (SPIA) team is hiring a Data Engineer I, SPS to help build and operate the data platform supporting Paragon, a large Human-in-the-Loop platform used across Selling Partner Services. Paragon processes more than 500 million cases annually and supports over 200 teams and 70,000 users involved in support and investigation activities.

This role focuses on building data-intensive applications and scalable data infrastructure. The position provides an opportunity to work with large datasets and contribute to data solutions that support reporting, analytics, and LLM/ML use cases across Selling Partner Services.

Key Responsibilities

• Design and operate scalable and cost-effective data infrastructure and pipelines using native AWS technologies.
• Curate data for reporting, analytics, and LLM/ML models.
• Define logical data models and data architectures that can support the growth of Paragon across emerging marketplaces and worldwide use cases.
• Work with business owners and technical leaders to gather requirements, shape data architecture, and deliver data solutions aligned with business needs.
• Support standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.
• Enable efficient exploration of large datasets.
• Implement data access controls for standalone datasets.
• Build automation that supports operational excellence.
• Contribute across the data engineering lifecycle, including design, development, testing, and maintenance.

Required Skills

• At least 1 year of data engineering experience.
• Experience with SQL.
• Experience with data modeling and data warehousing.
• Experience building ETL pipelines.
• Experience with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
• Experience with one or more scripting languages such as Python or KornShell.
• Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or another related discipline.

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.
• Knowledge of AWS infrastructure.

Technologies

• Python – listed as a scripting language for data engineering work.
• SQL – required for data engineering and query-related activities.
• AWS – used for scalable data infrastructure and pipelines.
• Hadoop – identified as a preferred big data technology.
• Hive – identified as a preferred big data technology.
• Spark – identified as a preferred big data technology.
• ETL – required experience includes building ETL pipelines.

Education

The role requires a Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or another related discipline. The supplied SoftoJobs qualification master does not provide a generic master's degree category, so the safely mapped qualification is Any Bachelor's Degree with no branch restriction.

Experience

Candidates should have 1 or more years of data engineering experience. The job description does not specify a maximum experience limit.

Work Mode & Location

This is a full-time role associated with Bengaluru, Karnataka. The job description does not specify remote or hybrid work, so the configured SoftoJobs default of onsite is used.

Who Should Apply

This opportunity is intended for candidates with data engineering experience who understand SQL, data modeling, data warehousing, ETL pipelines, query or scripting languages, and large-scale data environments. Candidates with exposure to Hadoop, Hive, Spark, EMR, ETL tools, or AWS infrastructure align with the preferred qualifications.

How to Apply

Apply now through SoftoJobs to explore this opportunity.