Amazon Hiring Data Engineer
Eligibility Criteria | |
---|---|
Job Role | Data Engineer |
Education | Bachelor's or Master's Degree |
Batch | 2023 |
Branch | All Branches |
CTC | Not Disclosed |
Experience | Fresher's |
Location | Hyderabad, Bangalore, Gurgaon |
Join us On Telegram | Click Here |
Eligibility Criteria :
- Candidate must be in their Final year of Bachelor or Master Course.
- Candidate should be from Computer Science or Engineering or related field.
- Candidate should be a graduated in year 2023.
- Candidate should have good written and oral communication skills.
Core responsibilities may include:
- Design, implement and support an analytical data platform solutions for data driven decisions and insights.
- Design data schema and operate internal data warehouses & SQL/NOSQL database systems.
- Interface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies like EMR, RedShift, Elastic Search.
- Work on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
- Work on data lake platform and different components in the data lake such as Hadoop, Amazon S3.
- Work on SQL technologies on Hadoop such as Spark, Hive, Impala.
- Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers.
- Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Basic Qualification :
- Candidate should have hands-on experience in SQL.
- Candidate should have hands on experience in languages like Python etc.
- Candidate should have knowledge of RDBMS, Big Data, NOSQL, ETL and Data-warehousing Concepts.
- Candidate must be a fast learner and have the ability to adapt quickly to a fast-paced development environment.
Preffered Qualification :
- Candidate should have hands on experience with AWS technologies like Amazon S3, EMR, Amazon RDS, Amazon Redshift etc.
- Candidate should have knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Candidate should have knowledge of cloud services such as AWS or equivalent.
- Candidate should have knowledge on different reporting/visualization tools in the industry.
- Candidate should have sharp problem solving skills and ability to resolve ambiguous requirements.
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