Data Engineer I
Amazon Web Services (AWS) (company site, opens in a new tab)1+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, model, and implement large-scale data sets including structured, semi-structured, and unstructured data for high-volume BI solutions.
- Develop and maintain data ingestion pipelines integrating diverse internal and external sources using AWS and legacy ETL tools.
- Implement robust, maintainable code and automated testing for data processing workflows within Amazon Warehousing & Distribution context.
Minimum Requirements
- At least 1 year of data engineering experience.
- Proficiency in data modeling, warehousing, and building ETL pipelines.
- Experience in one or more query languages (e.g., SQL, HiveQL, SparkSQL) and scripting languages (e.g., Python, KornShell).
- Mandatory skills include working knowledge of Big Data and MPP systems; work experience explicitly mentions AWS technologies.
Ideal Candidate Profile
- Operates well within cross-functional teams including software engineering and business stakeholders to translate requirements into data solutions.
- Prefer candidates who have demonstrated innovative problem-solving within data engineering and can communicate technical concepts to non-technical stakeholders.
- Experience working with mixed tech stacks including AWS services and legacy ETL tools in fast-evolving, large-scale data environments.