BigData Engineer Offline

Data Science UA Top Employer

Our customer is Fortune 500 company. As a leading business-to-business organization, more than 3.2 million customers rely on its products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support. ​

 

Skills:

-Hadoop experience, familiarity with HDFS/Hive in particular

-Python (PySpark a plus) and Java

-AWS experience, especially EC2, S3, and EMR (Cloud formation/other infrastructure scripting a plus)

- SQL

-Test-driven development (unit testing)

-RDBMS/ETL experience

-Streaming data (Kafka/Kinesis/etc.)

-CI/CD, Docker

-ETL orchestration (Airflow)

 

Responsibilities:

-Build and maintain AWS BigData solution.

-Perform data conversion, data imports, data exports and transformations.

-Design and implement processes to ensure data integrity and standardization.

-Continuously improve the Hadoop environment to ensure they are highly performant and provide an optimal end user experience.

-Implements data reliability, efficiency, and quality improvements.

-Ability to bring complex concepts into the organization and mentor others.

-Demonstrated ability to learn independently as well as from others. Push for improvement by bringing new ideas into the organization.

 

We offer:

Flexible working hours

A competitive salary and good compensation package

18 business days of payable annual free-time

10 days of paid sick leave

IT Club membership card which provides pleasant discounts

A masseur and a corporate doctor

An inspiring and comfy office

Regular office fruit delivery

 

Professional growth:

Challenging tasks and projects

An individual development plan

A personal education budget

A regular performance appraisal

Meetups and events for professional development

Mentorship opportunities

Business trips

 

Fun:

Corporate events and outstanding parties

Exciting team buildings

Memorable anniversary presents

A fun zone where you can play video games, football, ping pong, and more

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