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Sr Big Data Engineer (GCP)- Airflow and Oozie

extra holidays - extra parental leave - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

Experience in GCP managed services and cloud-based batch processing systems, Proficiency in Oozie, Airflow, Java, Python, Pig, SQL.

Key responsabilities:

Develop scalable code for batch processing systems using Hadoop, Oozie, Hive, Spark
Manage data workflows with Oozie and Airflow in Apache Hadoop ecosystem
Utilize GCP for scalable big data processing solutions
Implement automation/DevOps practices for CI/CD, IaC

Rackspace Technology Information Technology & Services Large https://www.rackspace.com/

5001 - 10000 Employees

See more Rackspace Technology offers

Job description

About the Role:

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.

What you will be doing

Build a reusable, and reliable code for stream and batch processing systems at scale. This includes working with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. Implementing automation/DevOps best practices for CI/CD, IaC, Containerization, etc.

Requirements

About the Role:

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in Oozie, the Apache Hadoop ecosystem, Airflow, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.

What you will be doing

Develop scalable and robust code for batch processing systems. This includes working with technologies like Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase

Develop, Manage and optimize data workflows using Oozie and Airflow within the Apache Hadoop ecosystem

Leverage GCP for scalable big data processing and storage solutions

Implementing automation/DevOps best practices for CI/CD, IaC, etc.

Requirements:

Experience with GCP managed services and understanding of cloud-based batch processing systems are critical.

Proficiency in Oozie, Airflow, Map Reduce, Java

Strong programming skills with Java (specifically Spark), Python, Pig, and SQL

Expertise in public cloud services, particularly in GCP.

Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce

Familiarity with BigTable and Redis

Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.

Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.

Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.

Proven experience in engineering batch processing systems at scale.

Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.