Amazon is hiring fresher’s and experienced candidates for the role of Data Engineer I. The complete details about role are as follows.
Amazon Career 2025 | Data Engineer I | Hyderabad
Company : Amazon
Role : Data Engineer I
Degree : Graduate/BE /B.Tech
Batches : 2024 and below
Experience : 1+ Year’s
Salary : 4 – 10 LPA* (Expected)
Location : Hyderabad, India
Job Description:
As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.
Qualifications & Skills :
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Roles and Responsibilities :
- You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.
- Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
- Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
- Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation
- Identify opportunities in existing data solutions for improvement
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About Amazon :
Amazon.com, Inc., doing business as Amazon, is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.