Amazon Hiring Data Engineer

Check the below link for applying.

• 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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