Duties and Responsibilities:
- 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.
Qualifications:
- Bachelor’s degree: Computer Science, Software Engineering or related field of study.
- 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.
- Strong experience in the Apache Hadoop ecosystem
- Proficiency in in the Hadoop ecosystem especially with Oozie and Pig.
- Strong programming skills with Java, Python, and Spark.
- Experience in Infrastructure and Applied DevOps principles in daily work.
- Experience with continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) tool like Terraform.
- Proven experience in engineering batch processing systems at scale.
- Experience with batch pipelines supporting Machine Learning workloads.
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