Track Lead - Oracle Administration,PostgreSQL,MYSQL, MS SQL

Experience: 6 to Not Available years

Location: Noida, India

Skills: Scuba Analytics, SQL, Python, Shell, Git, Azure DevOps Pipelines, GitHub Actions, Grafana, Prometheus, Kibana, ServiceNow, JIRA Service Management, Teams, Confluence, SharePoint, Wiki, ETL, ELT, data quality patterns, ITSM, Incident Management, Problem Management, Change Management, security awareness, compliance awareness, RBAC, data warehouses, Snowflake, BigQuery, Redshift, Synapse, Airflow, Data Factory, Step Functions, OpenTelemetry, Datadog, New Relic

Job Summary
Required Skills & Qualifications
Technical
• Hands-on experience with Scuba (replace with: Scuba Analytics / your internal Scuba platform) for building dashboards, complex queries, and data models.
• Strong SQL (window functions, CTEs, performance tuning) and comfort with large datasets.
• Scripting for automation (e.g., Python or Shell) and basic CI/CD (Git, pipelines).
• Understanding of data pipelines/ETL/ELT, schema design, and data quality patterns.
• Familiarity with monitoring & logging (e.g., Grafana/Prometheus/CloudWatch, Kibana) and alerting.
• Solid grasp of ITSM (Incident/Problem/Change), SLAs, and on-call best practices.
• Security & compliance awareness (access controls/roles, PII handling, audit readiness).

Skilled
• 6+ years of relevant experience in analytics platforms, data products, or application support engineering.
• Strong problem-solving, debugging, and analytical thinking; demonstrable ownership and bias for action.
• Clear written and verbal communication; ability to work with both technical and non-technical stakeholders.

Tools & Environment (customize)
• Version control: Git (Azure Repos/GitHub/GitLab).
• CI/CD:



Azure DevOps Pipelines / GitHub Actions.
• Monitoring/Logging: Grafana/Prometheus, Kibana, Cloud-native monitors.
• ITSM: ServiceNow / JIRA Service Management.
• Collaboration: Teams, Confluence, SharePoint, Wiki.

Nice-to-Have
• Experience with Scuba Analytics specifically (if applicable): data collectors, workspace management, time-series analytics, schema design, RBAC, and performance tuning specifics.
• Cloud data stack exposure (e.g., Azure/AWS/GCP), data warehouses (Snowflake/BigQuery/Redshift/Synapse).
• Workflow orchestration (Airflow, Data Factory, Step Functions).
• Observability stacks (e.g., OpenTelemetry, Datadog, New Relic).
• SRE/DevOps practices for reliability, infrastructure as code, and release automation.
• Domain familiarity (e.g., healthcare, life sciences, or CRM analytics) if relevant to your projects.

Education
• Bachelor’s/Master’s in Computer Science, Information Systems, Engineering, or equivalent experience.

Key Responsibilities
• Hands-on experience with Scuba (replace with: Scuba Analytics / your internal Scuba platform) for building dashboards, complex queries, and data models.
• Strong SQL (window functions, CTEs, performance tuning) and comfort with large datasets.
• Scripting for automation (e.g., Python or Shell) and basic CI/CD (Git, pipelines).
• Understanding of data pipelines/ETL/ELT, schema design, and data quality patterns.




• Familiarity with monitoring & logging (e.g., Grafana/Prometheus/CloudWatch, Kibana) and alerting.
• Solid grasp of ITSM (Incident/Problem/Change), SLAs, and on-call best practices.
• Security & compliance awareness (access controls/roles, PII handling, audit readiness).

Skill Requirements
• Hands-on experience with Scuba (replace with: Scuba Analytics / your internal Scuba platform) for building dashboards, complex queries, and data models.
• Strong SQL (window functions, CTEs, performance tuning) and comfort with large datasets.
• Scripting for automation (e.g., Python or Shell) and basic CI/CD (Git, pipelines).
• Understanding of data pipelines/ETL/ELT, schema design, and data quality patterns.
• Familiarity with monitoring & logging (e.g., Grafana/Prometheus/CloudWatch, Kibana) and alerting.
• Solid grasp of ITSM (Incident/Problem/Change), SLAs, and on-call best practices.
• Security & compliance awareness (access controls/roles, PII handling, audit readiness).

Other Requirements
Professional
• 6+ years of relevant experience in analytics platforms, data products, or application support engineering.
• Strong problem-solving, debugging, and analytical thinking; demonstrable ownership and bias for action.
• Clear written and verbal communication; ability to work with both technical and non-technical stakeholders.

Tools & Environment (customize)
• Version control: Git (Azure Repos/GitHub/GitLab).
• CI/CD: Azure DevOps Pipelines / GitHub Actions.
• Monitoring/Logging: Grafana/Prometheus, Kibana, Cloud-native monitors.
• ITSM: ServiceNow / JIRA Service Management.
• Collaboration: Teams, Confluence, SharePoint, Wiki.

📌 Track Lead Oracle Administration,PostgreSQL,MYSQL, MS SQL (Noida)
🏢 HCL Technologies
📍 Noida