Off Campus Drive Details
Company : Amazon
Company's Website : amazon.com
Job Location : Chennai,Gurgaon,Bangalore,Hyderabad
Position: Data Engineer
Salary: Best in industry
Experience: 0-1 years
Qualification Criteria : BE / B.tech /ME / M.Tech
Eligibility Criteria : CSE / IT / ECE
Last Date To Apply: Asap.
About the Company
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Job Description
Key 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
Skills Required
BASIC QUALIFICATIONS
- 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 QUALIFICATIONS
- 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.
Interview / Selection Process
1. Written exam
2. Technical Interview
3. HR Round
How to Apply
Step 1 – Click on Apply here link, it will redirect you to the company official website.
Step 2 – Click on the Register button and register on the website. If already register than ignore step 2.
Step 3 - Login with register Email ID and password and fill the details.
Step 4 - Wait for shortlisting if your profile matches with criteria.
All the best!
Click Here To Apply - Click here
When you will apply in at least 10 off-campus drive then you will get selected in 1. So, stay tuned for further opportunity.
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