Senior Data Specialist - R01553679
Senior Data Specialist
- GCP (BigQuery, GCS, Pub/Sub, Cloud Run, Functions,Cloud SQL).
- Python & PySpark (Spark SQL)
- Airflow (or any orchestration tool
- GCP Data Engineer
- Strong with PySpark (esp. Spark SQL) for complex transformation pipelines
- Hands-on with Airflow for orchestration and BigQuery SQL for querying and data modeling
- Good experience in GCP (BigQuery, GCS, Pub/Sub, Cloud Run, Functions,Cloud SQL)
- Comfortable with real-time ingestion: Kafka, webhooks, file-based triggers
- Solid API integration skills (REST/webhooks), with ability to handle payload-driven workflows
- Experience working in Kubernetes (GKE) for deploying and scaling pipelines
- Comfortable handling UI-driven configuration, YAML-based setups, and modular frameworks
- Exposure to schema transformation, data validation, hashing, and DQF logic
- Domain familiarity with logistics/healthcare
- Strong ownership mindset — able to work under pressure and balance speed with reliability
- Basic understanding of BASH, SFTP transfers, Networking, Access Management
- Bonus: PostgreSQL, CI/CD, monitoring, dashboarding, or lightweight UI development
- =================================
- Python & PySpark (Spark SQL) – 3+ years
- Airflow (or any orchestration tool) – 2+ years
- Google Cloud Platform (BigQuery, GCS, Pub/Sub, Cloud Run, Functions, Cloud SQL) – 3+ years
- Real-time data ingestion (Kafka, webhooks, file-based) – 2+ years
- API integration (REST/webhooks) – 2+ years
- Kubernetes (GKE preferred) – 1–2 years
- BigQuery SQL & PostgreSQL – 2+ years
- YAML/config-driven pipeline design – 2+ years
- Schema transformation, hashing, DQF – 2+ years
- CI/CD, observability, lightweight dashboards (Grafana/Streamlit/Flask UI) – 1+ year
- Logistics or healthcare domain exposure – nice to have
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