Key Responsibilities:
- 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.
Qualifications:
- Bachelors's degree in Computer Science, software engineering or related field of study.
- Experience with managed cloud 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.
- Proven experience in engineering batch processing systems at scale.
Must Have:
- 5+ 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.
- Proficiency in Oozie, Airflow, Map Reduce, Java.
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