Amazon Jobs Freshers as Data Engineer || Tamil Nadu
Amazon Careers 2022 :
Amazon Careers 2022 is great chance to start their career in IT Industry, Amazon Declared a virtual off Campus Hiring 2022 through Amazon Official Career Website .Interested candidates can go through this Job post to know further information about Amazon Hiring 2023 and Apply to the Amazon Recruitment 2022 through the Registration link available at the end of this post, more information about Amazon Exam 2022, Amazon Eligibility Criteria and Amazon Recruitment Pattern 2022 are discussed Here. we are going to tell you about Amazon jobs Hyderabad what you have to do is go through full page.
Amazon Careers 2022 Details:
Company Name:- Amazon
Educational Qualification:- Bachelors or Master Degree
Job Role:- Data Engineer
Salary:- Not Described
Job Location:- Bangalore, Chennai, Gurgaon, Hyderabad
Experience:- 0-2 yr
Amazon Careers 2022 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.
Required Qualification :
- 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
How To Apply for Amazon Careers 2022 Given Below 👇
Amazon Careers 2022 – Frequently Asked Questions
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