Scuba Developer cum Support Consultant

About the job
Job Title: Scuba Developer cum Support Consultant

Location: Mississauga, ON (Remote / PST Hours)

Duration: Contract

Job Summary

We are seeking a highly skilled Scuba Developer cum Support Consultant with strong experience in analytics platforms, data engineering, and production support. The ideal candidate will be responsible for designing and maintaining Scuba dashboards, optimizing queries, ensuring data reliability, and providing L2/L3 support in a fast-paced environment.

Key Responsibilities

Development & Analytics

Design, develop, and maintain dashboards, reports, and data models using Scuba Analytics platform
Build and optimize complex SQL queries for large-scale datasets
Implement data transformations and ensure efficient schema design
Develop automation scripts using Python/Shell to streamline operations
Support & Operations

Provide L2/L3 production support including incident, problem, and change management
Monitor system performance, troubleshoot issues, and ensure timely resolution within SLAs
Participate in on-call rotations and support critical production systems
Maintain system health through proactive monitoring and alerting
Data & Platform Engineering

Work with data pipelines (ETL/ELT) ensuring data quality and integrity
Implement data validation, reconciliation, and quality frameworks
Collaborate with engineering teams on data ingestion and transformation processes
Monitoring & Reliability

Set up and maintain monitoring/logging solutions (Grafana, Prometheus, Kibana, CloudWatch)
Configure alerts and dashboards for system observability
Support reliability engineering practices and performance tuning
Collaboration & Documentation

Work closely with business stakeholders and technical teams
Document processes, runbooks, and troubleshooting guides
Participate in Agile ceremonies and continuous improvement initiatives
Required Skills & Qualifications

Technical Skills

Hands-on experience with Scuba Analytics platform (dashboards, queries, data modeling)
Strong SQL expertise (CTEs, window functions, performance tuning)
Experience with scripting (Python/Shell) for automation
Knowledge of data pipelines, ETL/ELT processes, and schema design
Familiarity with monitoring and logging tools (Grafana, Prometheus, Kibana, CloudWatch)
Understanding of ITSM processes (Incident, Problem, Change Management)
Knowledge of security practices (RBAC, PII handling, audit compliance)
Professional Skills

6+ years of experience in analytics platforms, data engineering, or application support
Strong analytical, debugging, and problem-solving abilities
Ability to take ownership and work independently in a fast-paced environment
Excellent communication skills (technical & business stakeholders)
Tools & Environment

Version Control: Git (Azure Repos / GitHub / GitLab)
CI/CD: Azure DevOps Pipelines / GitHub Actions
Monitoring: Grafana, Prometheus, Kibana, Cloud-native tools
ITSM Tools: ServiceNow / JIRA Service Management
Collaboration: Microsoft Teams, Confluence, SharePoint
Nice-to-Have Skills

Deep expertise in Scuba Analytics (data collectors, time-series analytics, RBAC, performance tuning)
Experience with cloud platforms (Azure, AWS, GCP)
Exposure to data warehouses (Snowflake, BigQuery, Redshift, Synapse)
Workflow orchestration tools (Airflow, Data Factory, Step Functions)
Observability tools (OpenTelemetry, Datadog, New Relic)
SRE/DevOps practices including Infrastructure as Code and release automation
Domain knowledge in healthcare, life sciences, or CRM analytics
Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent experience