Key Responsibilities
- Design, develop, and maintain scalable data pipelines on Google Cloud Platform. • Develop and optimize complex # SQL queries and # BigQuery workloads.
- Build data processing solutions using # Python / #PySpark .
- Develop and manage ETL/ELT pipelines for large-scale data processing.
- Work with # DBT
for data transformation and modeling, where applicable.
- Build and manage workflows using # Apache Airflow .
- Work with GCP services such as # Dataflow and #Dataproc
for distributed data processing.
- Perform data validation, quality checks, troubleshooting, and performance optimization.
- Collaborate with data analysts, architects, and other engineering teams to deliver reliable data solutions.
- Follow best practices for data security, scalability, monitoring, and maintainability.
📌 Data Engineer (Sector 27)
🏢 SAN Engineering Solutions
📍 Sector 27
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