Amazon Off Campus Recruitment Drive 2022 |
Hiring Final year of Bachelor's or Master's degree (2023 Batch) Candidates as Data
Engineers | Last Date to Apply: 26 Jul 22
Website: https://www.amazon.in/
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Location
Details
mazon is hiring for the role of Data
Engineer!
Responsibilities of the Candidate:
- Design, implement and support an analytical
data platform solutions for data driven decisions and insights
- Design data schema and operate internal data
warehouses & SQL/NOSQL database systems
- Work on different data model designs,
architecture, implementation, discussions and optimizations
- Interface with other teams to extract,
transform, and load data from a wide variety of data sources using AWS big
data technologies like EMR, RedShift, Elastic Search etc.
- 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.
- Help continually improve ongoing analysis
processes, optimizing or simplifying self-service support for customers
- Must possess strong verbal and written
communication skills, be self-driven, and deliver high quality results in
a fast-paced environment
- Recognize and adopt best practices in reporting
and analysis: data integrity, test design, analysis, validation, and
documentation
- Enjoy working closely with your peers in a
group of talented engineers and gain knowledge
Requirements:
- Candidates must be in their Final year of
Bachelor or Master Course in Computer Science or Engineering or related
field
- Hands-on experience in SQL
- Hands on experience in languages like Python
etc.
- Knowledge of RDBMS, Big Data, NOSQL, ETL and
Data-warehousing Concepts
- Candidate must have good written and oral
communication skills, be a fast learner and have the ability to adapt
quickly to a fast-paced development environment
- Hands on Experience with AWS technologies like
Amazon S3, EMR, Amazon RDS, Amazon Redshift etc.
- Knowledge of software engineering best
practices across the development life cycle, including agile
methodologies, coding standards, code reviews, source management, build
processes, testing, and operations
- Knowledge of cloud services such as AWS or
equivalent
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