Quick overview
Job description
Job Title: Lead Cloudera/Hadoop Migration Engineer
Location: Remote
Duration: Long Term
Must Take Ropes Assessment before submitting
I am looking for someone who can not only develop code, but also manage communication, handle working with stakeholders like Infrastructure, content team and be able to understand the scope of migration.
Qualifications:
- Bachelor’s Degree in Computer Science, Information Technology, Information Systems, or related field.
- 10+ years of experience with enterprise and application design patterns that are applied on Hadoop and Big data platforms in aws.
- The ideal candidate will possess deep expertise in both on-premises Hadoop ecosystems and modern cloud-native big data solutions on AWS.
- Hands-on experience with Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python) Proficiency in writing, maintaining, and troubleshooting shell scripts (Bash or similar) for automation and operational support.
- Migration to AWS will need – Analyze existing Cloudera Hadoop architecture, workflows, and data pipelines.
- Develop a comprehensive migration strategy to transfer data, processing logic, and applications to AWS services.
- Design target architecture using AWS big data services such as Amazon EMR, Airflow, Glue, Lambda.
- Evaluate and select appropriate AWS tools for data ingestion, storage, processing, and analytics.
- Oversee the migration process, including data transfer, application re-platforming, and validation.
- Ensure the new architecture meets performance, scalability, reliability, and security requirements.
- Collaborate with developers, data engineers, DevOps, and stakeholders to ensure a seamless migration.
- Create detailed technical documentation and migration runbooks.
- Mentor team members on AWS big data best practices.
- Strong understanding of data security, compliance, and governance in the cloud.
- Proven track record of migrating or modernizing big data workloads to AWS.
- Experience with cloud automation and Infrastructure as Code (e.g. Terraform).
- AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data – Specialty) are highly desirable.
Additional skills required
- Familiarity with xml/json data formats Knowledge of monitoring and logging tools
- 5+ years of experience with platform engineering tools such as Bitbucket, Gradle, Octopus, Artifactory.
Job Responsibilities:
- Design and develop scalable, maintainable software and data-processing solutions.
- Analyze existing Cloudera Hadoop architecture, workflows, and data pipelines.
- Develop and execute migration strategies from on-premises Hadoop to AWS.
- Design AWS architectures using EMR, Glue, Airflow, Lambda, and related services.
- Oversee data transfer, application re-platforming, testing, and validation.
- Ensure solutions meet performance, scalability, security, and reliability requirements.
- Troubleshoot software, platform, and data-pipeline issues.
- Create technical documentation, migration plans, and operational runbooks.
- Collaborate with engineering, DevOps, QA, product, and business stakeholders.
- Mentor team members on software engineering and AWS big data practices.
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