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Hadoop Infrastructure Solutions Engineer
2 months ago
Position Title: Infrastructure Engineer Consultant Hadoop
Role Objective:
- This role involves working closely with Solutions Engineering, Infrastructure Operations, and Infrastructure Service Management teams.
- Responsible for the design and construction of infrastructure solutions and blueprints within the designated area.
- Engaging in the creation of repeatable deployment patterns (build-kits) to enhance the deployment process for both non-production and production environments.
- Facilitating the transfer of knowledge to Infrastructure Operations teams.
Essential Qualifications:
- A Bachelor's Degree coupled with 5 years of experience in Information Technology or a related field; alternatively, a Technical Certification and/or relevant college coursework with 7 years of IT experience; or 9 years of IT experience.
- Hands-on experience with Hadoop distribution platforms such as Hortonworks, Cloudera, and others.
- Willingness to provide on-call support for Hadoop as necessary.
- Proficient in implementing and troubleshooting applications such as Hive, Pig, Storm, Kafka, Nifi, Elastic Search, Solr, and HBase.
- Familiarity with Ruby or Python, along with experience in DevOps tools like Git and GitHub.
- Experience in a scripting language for automating infrastructure deployment tasks.
- Ability to simplify and standardize complex processes and concepts.
- Understanding of business priorities, industry trends, and market dynamics.
- Strong oral and written communication skills.
- Capability to prioritize tasks and make informed trade-off decisions.
- Drive for cross-functional execution and collaboration.
- Adaptability and proficiency in managing change.
- Team-oriented with a focus on collaboration.
- Highly organized and detail-oriented.
Preferred Qualifications:
- Experience in Hadoop Application Infrastructure Engineering and Development Methodology.
- Familiarity with Ambari, Hortonworks, and HDInsight.
- Experience with Cloudera Technology on Azure or AWS platforms.
- Knowledge of Streaming Technologies, particularly Kafka.
- Understanding of security protocols such as Kerberos, TLS encryption, SAML, and LDAP.
- Knowledge of cloud-based big data solutions on Azure or AWS, including EMR, HDInsight, Kinesis, and Event Hubs.