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 

About the jobs:-

As a Data Engineer, you will be working on building and maintaining complex data pipelines, assembling large and complex datasets to generate business insights enabling data-driven decision-making, and supporting the rapidly growing and dynamic business demand for data.
Data Engineers help us design, manage, and continuously enhance our Analytics needs. You will develop and deliver analytics applications including metrics generation, metrics correlation, modeling, and many other use cases to help improve process effectiveness, customer experience, and automation. As a DE, you will deal with technical aspects of data warehousing (Redshift, Spectrum, EMR, ETL), and infrastructure and build data pipelines, tools, and reports that enable program managers, analysts, BIEs, solution architects, and executives to design and deliver benchmarking services for Amazon’s business units.

OrganizationAmazon
PositionData Engineer
Salary₹10 LPA*
QualificationBE/B.Tech/ME/M.Tech
LocationBangalore
Experiences 0-2 years of experience
amazon
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Job Role & responsibilities


• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
• Design data models, implement, automate, optimize, 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 the 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 benchmarking 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

BASIC QUALIFICATIONS

• Enrolled in Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Industry experience in Data Engineering, BI engineering, or related field.
• Hands-on experience in building big data solutions 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

Experiences & Skills

• 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 working with different SQL/NoSQL databases.
• Knowledge of the data lake platform and different technologies used in the data lake to retrieve and process the data.

How to apply for this position?

Eligible and interested candidates fill out the online Application form through our giving link below.

Apply now

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