Sr Big Data Engineer (GCP)- Airflow and Oozie

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:

• Job Title: Sr Big Data Engineer (GCP) - Airflow and Oozie
• 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.

Must Have:

• Must Have
• -       Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification
• -       10+ years of experience in customer-facing software/technology or consulting
• -       5+ years of experience with “on-premises to cloud” migrations or IT transformations
• -       5+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure
• -       Technical degree: Computer Science, software engineering or related