Convo is looking for Python Data Engineers with 3+ years of experience in production data engineering and pipeline operations. The ideal candidate should have strong expertise in Python, SQL, Airflow/Azure Data Factory, Spark, data quality, schema validation, and monitoring, with the ability to troubleshoot pipeline issues, maintain reliable data workflows, and ensure data quality, freshness, and operational stability.
Technical missionMaintain data pipelines, implement schema-validation automation and resolve operational incidents within the approved platform architecture.
Key responsibilitiesMaintain and enhance Python/SQL pipelines orchestrated through Airflow, Azure Data Factory or equivalent.
Implement schema, completeness, freshness and reconciliation checks.
Diagnose and resolve pipeline failures, data-quality incidents and performance regressions.
Support Spark jobs and incremental data-processing patterns.
Add monitoring, structured logging and actionable alerts.
Document fixes, recurring failure patterns and operational procedures.
Minimum experience: 3+ years in production data engineering or data-pipeline operations using Python and SQL.
Production Python and SQL for data engineering.
Airflow, Azure Data Factory or comparable workflow orchestration.
Working knowledge of Spark and distributed data-processing concepts.
Data-quality and schema-validation implementation.
Monitoring, incident triage and root-cause analysis.
Version control, automated testing and controlled deployment practices.
Databricks, Delta Lake and cloud storage patterns.
On-call or production-support experience for data platforms.
CPG, retail or enterprise-source data.
Stable pipelines meeting agreed freshness and quality thresholds.
Automated validation and monitoring coverage.
Closed incidents with documented root cause and preventive action.
Updated runbooks and maintainable handover documentation.
Works with Senior Data Engineers, Telemetry Support, connector teams and platform operations.
What We Have For You- Great compensation package, medical benefit for you and your family, free lunch, annual performance-tied increments & performance recognition awards and a great lean and agile work culture!
- Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!
Skills Required
- 3+ years of production data engineering or data-pipeline operations experience
- Production experience with Python and SQL for data engineering
- Experience with Airflow, Azure Data Factory, or comparable workflow orchestration
- Working knowledge of Spark and distributed data-processing concepts
- Experience implementing data-quality and schema-validation processes
- Monitoring, incident triage, and root-cause analysis experience
- Version control, automated testing, and controlled deployment practices
- Experience with Databricks, Delta Lake, and cloud storage patterns
- On-call or production-support experience for data platforms
- CPG, retail, or enterprise-source data experience
What We Do
Convo provides an enterprise social collaboration platform that enables easy, secure conversations between desk / non-desk workers to accelerate company productivity and engagement. Unlike existing email-focused or chat-centric collaboration platforms, only Convo combines the ease of social networks with rich collaboration capabilities to simplify and optimize work interactions for all employees -- no email required.
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