AWS Data Engineer

Vidushi Infotech

7 - 12 years

5 - 9 Lacs

hyderabad bengaluru

Posted:12 hours ago| Platform:

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Skills Required

hive architecting python amazon redshift pyspark engineering data pipeline data engineering sql microservices amazon ec2 boto3 git lambda expressions cloud architecture spark tdd hadoop aws big data etl python framework programming architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Architecting Data Pipelines:
Design, build, and maintain highly scalable and efficient data pipelines using cutting-edge AWS services.
Driving Code Excellence:
Perform significant
Code Refactoring
on a legacy codebase cleaning, modernizing, and improving readability and long-term maintainability.
Mastering Optimization:
Apply your deep understanding of
Spark SQL
and
PySpark
to continuously optimize code for performance and cost efficiency.
Embracing Quality:
Champion
Test-Driven Development (TDD)
and meticulous
Unit Testing
to ensure functionality, catch bugs early, and maintain a high bar for code quality.
Solving the Toughest Challenges:
Dive into complex systems to debug and resolve difficult bugs related to performance, concurrency, or intricate logic flaws.
Collaborating on Cloud Architecture:
Leverage and explain the benefits of key AWS services like
S3, EC2, Lambda, Redshift, and CloudFormation
to build robust solutions. What Youll Bring (Must-Haves):
7+ years
of hands-on experience in
Data Engineering
, with a proven track record of creating high-impact data pipelines and assets.
4+ years
of strong, hands-on programming experience with
PySpark, Python, and Boto3
, including expertise in Python frameworks and libraries, adhering to best practices.
Deep knowledge of
Code Versioning
practices, including
Git Repositories
and experience with artifact management tools like
JFrog Artifactory
.
Solid practical knowledge of
AWS Architecture
and its core data services.
A true commitment to clean code, testability, and engineering best practices.

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