Data Engineer @ SV Professionals

Job Description

Responsibilities:

• Build and maintain robust ETL pipelines using Python, Dataflow, and Apache Beam
• Design scalable data processing workflows using Cloud Composer (Airflow DAGs)
• Work with structured and semi-structured data in BigQuery, optimizing for performance and cost
• Implement data transformation and enrichment processes to support reporting and analytics
• Develop distributed data processing solutions using DataProc (Spark/Hadoop)
• Collaborate with data scientists, analysts, and engineers to integrate data solutions across teams
• Monitor data pipeline performance and troubleshoot issues proactively
• Maintain data pipeline documentation and follow best practices for data governance

Requirements:

• Proficiency in Python for scripting and data manipulation
• Strong knowledge of SQL for querying and transforming large datasets
• Hands-on experience with Google Cloud Platform data services:
• BigQuery
• Cloud Dataflow
• Cloud Composer (Airflow DAGs)
• DataProc (Spark/Hadoop)
• Solid understanding of ETL concepts, data modeling, and workflow orchestration
• Experience working in agile teams and delivering production-ready data solutions

Preferred Qualifications:

• GCP certification (e.g., Professional Data Engineer)
• Familiarity with CI/CD practices for data engineering
• Experience with streaming data and real-time pipeline architectures
• Understanding of data security, privacy, and compliance in cloud environments

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Keyskills:   python google cloud platform sql