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Added 9 mins ago
AI
Senior Database Administrator (Oracle Application DBA / Cloud)
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Added 24 mins ago
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Added 25 mins ago
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Added 55 mins ago
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- Full-time
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Added 1 hour ago
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People & Culture Coordinator
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Added 1 hour ago
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Added 1 hour ago
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Bevertec

Business Intelligence Specialist

Toronto, ON, Canada

Pay Rate: $70.00 – $75.00 / hour · Contract

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Job details

Pay: Pay Rate: $70.00 – $75.00 / hour
Job type: Contract
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

RQ00414 - Business Intelligence Specialist - Level 3 (Senior Cloudera Data Lake Platform Consultant)

Location: Sault Ste. Marie, ON or Toronto, ON (Hybrid)

Pay Rate: $70.00 – $75.00 / hour

Contract Duration: November 2026 – November 2027 (1-Year Contract)

We are seeking a Senior Cloudera Data Lake Platform Consultant (Business Intelligence Specialist - Level 3) to provide critical operational support, infrastructure maintenance, and technical leadership for an enterprise Cloudera Data Lake environment.

In this role, you will ensure the stability, availability, performance, and security of the legacy data lake ecosystem supporting business-critical analytics, batch processing, and reporting workloads while facilitating a seamless transition to a modern Microsoft Azure and Databricks platform.

What You Will Be Doing

Platform Operations & Maintenance: Provide daily operational support, cluster administration, and health monitoring for the Cloudera environment across HDFS, Hive, Impala, Spark, Kudu, Oozie, Hue, YARN, and Cloudera Manager.
Incident & Problem Management: Lead troubleshooting, log analysis, and root-cause resolution for production incidents across infrastructure, OS, storage, and application layers.
Modernization & Transition Support: Support the gradual migration of workloads to Azure Data Lake and Databricks, assisting with parallel operations, legacy dependency mapping, workload validation, and platform decommissioning.
Performance & Capacity Optimization: Monitor and tune compute/memory utilization, YARN queues, HDFS storage, and query execution for high-volume analytics workloads.
Security & Governance: Administer Ranger policies, Kerberos authentication, LDAP/Active Directory integrations, encryption controls, and vulnerability remediations.
Vendor & Stakeholder Management: Coordinate technical escalations and manage support cases directly with Cloudera and software vendors.
Knowledge Transfer & Documentation: Author standard operating procedures, support playbooks, architecture diagrams, and conduct structured knowledge-transfer sessions with internal technical teams.

Must-Haves

Experience: Minimum 8+ years in data platform engineering, infrastructure support, or systems administration, with 5+ years of hands-on experience supporting enterprise Cloudera / Hadoop environments.
Core Technical Stack: Advanced hands-on expertise in Cloudera (CDP/CDH) and the Hadoop ecosystem (HDFS, Hive, Impala, Apache Spark, Kudu, Oozie, Hue, YARN, Cloudera Ranger, Apache Atlas, ZooKeeper).
Platform & OS Administration: Proven expertise in Linux administration, Shell scripting, Python, SQL, REST APIs, and cluster health management.
Security & Access Control: Solid experience managing Kerberos authentication, LDAP/AD integration, Ranger authorization policies, and vulnerability remediation.
Incident & Capacity Management: Demonstrated track record managing production incidents, log diagnostics, workload queue tuning, and platform recovery for high-volume batch and reporting workloads.

Nice-to-Haves

Cloud & Modernization Tech: Experience with Microsoft Azure (ADLS, Entra ID, Key Vault, Azure Monitor) and Databricks (Delta Lake, cloud data migration).
Cloudera Certified Administrator / Professional
Azure Certifications (Azure Administrator, Azure Data Engineer, or Azure Solutions Architect)
Databricks Certifications (Data Engineer Associate/Professional, Apache Spark Developer)
Linux Administration or ITIL Foundation certifications

Work Location & Hybrid Model

Primary Locations: Sault Ste. Marie, ON OR Toronto, ON.
Work Setup: Hybrid operational model (combining remote flexibility with assigned on-site days as required by business operations).

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

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More about this job

Responsibilities

Operate, maintain, and optimize the enterprise Cloudera data lake, including cluster health, production incident resolution, performance, capacity, security, and access controls. Support migration to Azure Data Lake and Databricks while coordinating vendor escalations and producing operational documentation and knowledge-transfer materials.

Requirements

Requires at least 8 years of data platform engineering, infrastructure support, or systems administration experience, including 5 or more years supporting enterprise Cloudera or Hadoop environments. Candidates must have advanced Cloudera and Hadoop ecosystem expertise, Linux administration, scripting and SQL skills, and experience with security controls, production incidents, and capacity management.

Skills

Cloudera
Hadoop
Linux Administration
Shell Scripting
Python
SQL
HDFS
Hive
Impala
Apache Spark
YARN
Cloudera Ranger
Kerberos
Incident Management
Azure Data Lake
Databricks

Visa sponsorship

Not detected in the job text

Keywords

Cloudera CDP
Cloudera CDH
Hadoop
HDFS
Hive
Impala
Apache Spark
Kudu
Oozie
Hue
YARN
Cloudera Manager
Cloudera Ranger
Apache Atlas
ZooKeeper
Linux
Shell Scripting
Python
SQL
REST APIs
Kerberos
LDAP
Active Directory
Azure Data Lake Storage
Microsoft Entra ID
Azure Key Vault
Azure Monitor
Databricks
Delta Lake
Data Migration

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