Amazon Looking To Hire Data Engineer

Amazon Recruitment 2022: Amazon announces the hiring of a Data Engineer, Interested and eligible candidates can go through this post for further details about Amazon recruitment 2022.

Here we provide the information about the company Name, Job Role, Salary, Qualifications and job Responsibilities.

Job Applicants can read all the details of the online job application, you can register through the link given in below.

Amazon Recruitment 2023:

Company Name	Amazon
Post Name	Data Engineer
Salary	₹10 LPA*
Experience	Freshers
Batch	2022/2021/2020
Job Location	Bangalore
Last Date	ASAP
Qualification	BE/B.Tech/ME/M.Tech

Job Responsibilities:

Design data schema and operate internal data warehouses and SQL/NOSQL database systems.
Design data models, implement, automate, optimization and monitor data pipelines
Own the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
Analyze and solve problems at their root, stepping back to understand the broader context
Manage Redshift/Spectrum/EMR infrastructure, and drive architectural plans and implementation for future data storage, reporting, and analytic solutions
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 etc.
Work on SQL technologies on Hadoop such as Spark. Hive, Impala etc.
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
Conduct rapid prototyping and proof of concepts
Conceptualize and develop automation tools for bench marking data collection and analytics
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies

Eligibility Criteria:

Enrolled in Bachelor or Master degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
Industry experience in Data Engineering, BI Engineer, or related field.
Hands on experience in building big data solution using EMR/Elastic Search/Redshift or equivalent MPP database.
Hands-on experience and advanced knowledge of SQL and scripting languages such as Python, Shell, Ruby etc.
Hands-on experience in working with different reporting/visualization tools available in the Industry.
Demonstrated strength and experience in data modeling, ETL development and data warehousing concepts

Preferred skill:

Good communication skills
Excellent spoken and written English
0-2 years of experience as a Data Engineer, BI Engineer, or related field in a company with large, complex data sources.
Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda) or equivalent industry tools
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience on working with different SQL/NOSQL databases.
Knowledge on data lake platform and difference technologies used in data lake to retrieve and process the data.

About Amazon:

Amazon.com, Inc. is an American multinational conglomerate that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S.