Description:

Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase.
Develop, manage, and maintain batch pipelines supporting Machine Learning workloads.
Leverage GCP for scalable big data processing and storage solutions.
Implement automation/DevOps best practices for CI/CD, IaC, etc.
Work remotely with excellent communication skills and the ability to solve complex problems independently and creatively.

Requirements:

Proficiency in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm.
Strong programming skills in Java, Python, and Spark.
Knowledge of public cloud services, particularly in GCP.
Experience in Infrastructure and Applied DevOps principles, utilizing tools for CI/CD, IaC like Terraform.
Ability to tackle complex challenges, think critically, and propose innovative solutions.
Effective remote work experience with strong written and verbal communication skills.
Proven experience in engineering batch processing systems at scale.
Hands-on experience in public cloud platforms, particularly GCP.

Opportunity to work on developing batch processing systems and Machine Learning pipelines.
Remote position with the flexibility to work independently and creatively.
Utilize GCP for scalable big data processing and storage solutions.
Implement automation/DevOps best practices for CI/CD, IaC, etc.
Join a dynamic team at a company recognized as a best place to work, offering equal employment opportunities.