
Big Data Administrator
5 days ago
Job Summary:
We are seeking a Big Data Administrator with strong expertise in Linux systems, AWS infrastructure, and Big Data technologies. This role is ideal for someone experienced in managing large-scale Hadoop ecosystems in production, with a deep understanding of observability, performance tuning, and automation using tools like Terraform or Ansible.
Key Responsibilities:
- Manage and maintain large-scale Big Data clusters (Cloudera, Hortonworks, or AWS EMR)
- Develop and support infrastructure as code using Terraform or Ansible
- Administer Hadoop ecosystem components HDFS, YARN, Hive (Tez, LLAP), Presto, Spark
- Implement and monitor observability tools like Prometheus, InfluxDB, Dynatrace, Grafana, Splunk
- Optimize SQL performance on Hive/Spark and understand query plans
- Automate cluster operations using Python (PySpark) or Shell scripting
- Support Data Analysts & Scientists with tools like JupyterHub, R-Studio, H2O, SAS
- Handle data in various formats ORC, Parquet, Avro
- Integrate with and support Kubernetes-based environments (if applicable)
- Collaborate across teams for deployments, monitoring, and troubleshooting
Must-Have Skills:
- 5+ years in Linux system administration and AWS cloud infrastructure
- Experience with Cloudera, Hortonworks, or EMR in production
- Strong in Terraform Ansible for automation
- Solid hands-on with HDFS, YARN, Hive, Spark, Presto
- Proficient in Python and Shell scripting
- Familiar with observability tools: Grafana, Prometheus, InfluxDB, Splunk, Dynatrace
- Familiarity with Active Directory, Windows VDI platforms (Citrix, AWS Workspaces)
Nice-to-Have Skills:
- Experience with Airflow, Oozie
- Familiar with Pandas, Numpy, Scipy, PyTorch
- Prior use of Jenkins, Chef, Packer
- Comfortable reading code in Java, Scala, Python, R
Qualifications:
- Bachelors or Masters degree in Computer Science, Information Technology, or a related field
- Strong communication, collaboration, and troubleshooting skills
- Ability to thrive in remote or hybrid work environments
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