Amazon is hiring freshers for Data Engineer I

• 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

• 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

• 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