Senior Associate _GCP Data Engineer_Advisory Corporate

• Design and implement scalable, efficient, and secure data pipelines on GCP, utilizing tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Collaborate with crossfunctional teams (data scientists, analysts, and software engineers) to understand business requirements and deliver actionable data solutions.
• Develop and maintain ETL/ELT processes to ingest, transform, and load data from various sources into GCPbased data warehouses.
• Build and manage data lakes and data marts on GCP to support analytics and business intelligence initiatives.
• Implement automated data quality checks, monitoring, and alerting systems to ensure data integrity.
• Optimize and tune performance for largescale data processing jobs in BigQuery, Dataflow, and other GCP tools.
• Create and maintain data pipelines to collect, clean, and transform data for analytics and machine learning purposes.
• Ensure data governance and compliance with organizational policies, including data security, privacy, and access controls.

Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Good Clinical Practice (GCP) Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation