Amazon Off Campus Drive 2023 | Fresher| Data Engineer Apply Now!!

Amazon Off Campus Jobs Walkin Drive and Recruitment Eligibility, Careers, Salary, Syllabus, Exam Pattern, Selection Process: Amazon has announced a job notification for the post of Data Engineer. A student from various disciplines can apply for the Amazon Recruitment drive 2023. Interested and eligible candidates can read more details below 

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Amazon Recruitment 2023:

Job Description:

Amazon Off Campus 2023 is hiring candidates for the post of Data Engineer.

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.

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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.

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