Senior Data Specialist - R01553679

Senior Data Specialist

Primary Skills

• ETL Fundamentals, SQL, BigQuery, Dataproc, SQL (Basic + Advanced), Python, Data Catalog, Data Warehousing, Composer, Dataflow, Cloud Trace, Cloud Logging, Cloud Storage, Datafusion, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Job requirements

• Azure 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 (CVS context is a big plus)
• 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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