Senior Python Data Engineer
Convo · Islamabad, Punjab Province and Federal Capital Territory (ICT) ·
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 3+ years
Convo · Islamabad, Punjab Province and Federal Capital Territory (ICT) ·
Recruitment Intelligence · Islamabad, Pakistan
Recruitment Intelligence · Islamabad, Pakistan
Systems Limited · Punjab, Pakistan
Systems Limited · Punjab, Pakistan
Senior Python Data Engineer at Convo (Islamabad) who maintains and enhances production Python/SQL data pipelines orchestrated with Airflow/Azure Data Factory. Day to day: implement schema and data-quality validation, troubleshoot pipeline failures, support Spark jobs, and add monitoring, logging and alerts to keep data fresh and reliable.
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.
Maintain data pipelines, implement schema-validation automation and resolve operational incidents within the approved platform architecture.
Maintain 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.
Sky Systems, Inc. (SkySys) · India