Sr Big Data Engineer (GCP)- Airflow and Oozie

Key Skills

Apache Airflow, Apache Hadoop, Apache Hive, Apache Oozie, AWS Kinesis, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Google Cloud Platform (GCP), HBase, JavaScript, MapReduce, Python Programming, REDIS, Terraform

Job Description

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.