Job Overview
Role: Data Engineer I Location: Bengaluru Experience: 1+ Years Qualification: B.E / B.Tech / B.Sc Key Skills: SQL, ETL, AWS, Big Data, Python
Job Description
For the Amazon Recruitment 2026 drive, the team is seeking a smart and highly motivated Data Engineer. You will provide technical leadership and build end-to-end analytical solutions that are highly available, scalable, stable, and secure. You will work with huge datasets and architect advanced data ecosystems. The role involves implementing data ingestion routines using best practices in data modeling and ETL/ELT processes by leveraging AWS technologies.
Roles and Responsibilities
- Pipeline Development: Designing, implementing, and operating large-scale, high-volume data structures for analytics and data science.
- Data Ingestion: Implementing data ingestion routines using best practices in ETL/ELT.
- AWS Integration: Integrating data systems with AWS tools to support customer use cases.
- Optimization: Identifying opportunities in existing data solutions for improvements and adopting best practices in data integrity.
- Collaboration: Collaborating with engineers to translate business requirements into robust, scalable solutions.
Skills and Eligibility Criteria
Educational Background: B.E / B.Tech / B.Sc in Computer Science or related fields.
Experience: 1+ years of data engineering experience.
Mandatory Technical Skills:
- Experience with Data Modeling, Warehousing, and building ETL pipelines.
- Proficiency in SQL and query optimization for large-scale datasets.
- Experience with scripting languages like Python or KornShell.
Competencies:
- Experience with Big Data technologies: Hadoop, Hive, Spark, EMR.
- Knowledge of ETL tools (Informatica, Glue, etc.).
- Familiarity with AWS ecosystem.