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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing data pipelines, ensuring data quality, and implementing monitoring solutions. Proficient in SQL and Python, with experience in cloud data platforms and compliance standards.
Highest-signal resume keywords
Data Pipeline ManagementSQL ProficiencyPython ProgrammingCloud Data PlatformsData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data OperationsETL/ELT PipelinesWorkflow OrchestrationMonitoring and ObservabilityCI/CD PracticesData Quality MonitoringAutomated ValidationIncident ResponseData Lineage TrackingSLA/SLO Definition
Soft Skills
TroubleshootingAnalytical SkillsCommunicationCollaboration
Tools & Technologies
AirflowDatabricksSnowflakeRedshiftGitDbtAWS
Industry Keywords
Data GovernancePCI DSSSOC 2FintechTransactional Data
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSETLFluxPythonSQLTypeScript
About the role
Key responsibilities & impact- Operate and maintain data pipelines and production workflows.
- Monitor and troubleshoot data ingestion, transformation, and delivery processes.
- Ensure the availability and reliability of data services.
- Manage incident response and root cause analysis for data-related issues.
- Develop and maintain runbooks and standard operating procedures.
- Implement data quality monitoring and alerting.
- Define and measure data service-level agreements (SLAs) and service-level objectives (SLOs).
- Identify data anomalies and coordinate corrective actions.
- Design automated validation and reconciliation processes.
- Track data lineage, metadata, and operational documentation.
- Develop scripts and tools to reduce manual operational effort.
- Implement platform monitoring and observability solutions.
- Create dashboards to track pipeline health, freshness, latency, and usage.
- Drive proactive incident detection and system self-healing capabilities.
- Support the implementation of data governance standards.
- Apply role-based access controls and security policies.
- Participate in applicable compliance audits, including PCI DSS and SOC 2.
- Manage data retention, archiving, and lifecycle processes.
- Ensure the proper handling of sensitive and regulated data.
- Optimize the performance and operating costs of data infrastructure.
- Improve deployment and release processes through CI/CD practices.
- Participate in architecture reviews and platform improvement initiatives.
- Support analytics, reporting, and artificial intelligence initiatives.
- Collaborate with developers and data analysts to operationalize data products and expand secure access to curated data assets.
Requirements
What you’ll need- Three or more years of experience in data operations, data development, DevOps, platform development, or a related field.
- Strong SQL and Python skills.
- Experience supporting cloud data platforms and ETL/ELT pipelines.
- Experience with workflow orchestration tools such as Airflow, Dagster, Databricks Workflows, or equivalent.
- Experience with monitoring, observability, Git, and CI/CD practices.
- Understanding of data governance, security, and access management concepts.
- Excellent troubleshooting, analytical, communication, and collaboration skills.
- Experience with AWS.
- Experience with Databricks, Snowflake, Redshift, or a comparable platform.
- Experience with dbt and data catalog or metadata management solutions.
- Knowledge of real-time pipelines and event-driven architectures.
- Experience supporting AI, machine learning, or analytics platforms.
- Experience in payments, fintech, point-of-sale, or transactional data environments.
- Bilingual proficiency in English and French.
Benefits
Comp & perks- Medical and dental coverage from day one.
- 24/7 access to telemedicine services.
- Employer-matched RRSP contributions.
- Vacation and personal days.
- Hybrid work arrangement.
- The opportunity to take on stimulating technical challenges within an established product company.