
Data Architect
2 days ago
We are seeking an experienced administrator to manage and optimize our extensive Hadoop platforms, which span thousands of nodes per cluster. This role is crucial for Big Data Administration and Engineering activities across multiple open-source platforms, focusing on improving performance, reliability, and efficiency.
Key Responsibilities:- Perform comprehensive Big Data Administration and Engineering activities on multiple open-source platforms, including Hadoop, Kafka, HBase, and Spark.
- Provide expert-level administration support, with a focus on large-scale clusters.
- Conduct effective root cause analysis for major production incidents and develop clear learning documentation.
- Identify and implement high-availability solutions for services with single points of failure to ensure continuous operation.
- Plan and execute capacity expansions and upgrades in a timely manner to prevent scaling issues and bugs.
- Automate repetitive tasks to significantly reduce manual effort and prevent human errors, leveraging tools like Ansible, Shell scripting, or Python scripting.
- Tune alerting mechanisms and set up robust observability to proactively identify issues and performance problems.
- Collaborate closely with teams to review new use cases and implement hardening techniques, building robust and reliable platforms.
- Create standard operating procedure (SOP) documents and guidelines for effectively managing and utilizing the Big Data platforms.
- Leverage DevOps tools and disciplines (Incident, Problem, and Change Management) and standards in day-to-day operations.
- 5- 12 years of experience in Big Data Administration and Engineering.
- Minimum of 2 years of dedicated administration support experience.
- Strong proficiency in administration automation using tools like Ansible, Shell scripting, or Python scripting.
- Solid DevOps skills, with the ability to code in at least one language, preferably Python.
- Hands-on experience with Hadoop, Kafka, HBase, and Spark platforms.
- Proven strong troubleshooting and debugging skills.
- Experience in identifying and implementing high-availability solutions.
- Knowledge of capacity planning, upgrades, and performance tuning for large-scale environments.
- Familiarity with monitoring, alerting, and observability best practices.
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15h Left) Data Architect Consultant
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