GCP Data Engineer

Overview:

Key Responsibilities:

• Design and develop data processing and ETL pipelines on GCP using tools such as Dataflow Dataprep and Apache Beam
• Implement big data solutions using GCP services like BigQuery Bigtable and Pub/Sub
• Work closely with data scientists and analysts to ensure data availability and enable efficient analysis
• Optimize data storage retrieval and processing capabilities in GCP
• Automate and monitor data pipelines to ensure efficient and reliable performance
• Collaborate with crossfunctional teams to understand data requirements and deliver scalable solutions
• Ensure data security privacy and compliance with regulatory standards
• Troubleshoot and resolve data infrastructure issues in a timely manner
• Document data engineering processes workflows and best practices
• Stay updated with GCP offerings and industry best practices in data engineering

Required Qualifications:

• Bachelor s degree in Computer Science Engineering or related field
• Proven experience in designing and building data solutions on Google Cloud Platform
• Strong proficiency in SQL and database management
• Handson experience with GCP services such as Dataflow BigQuery Pub/Sub and Bigtable
• Proficiency in programming languages like Python Java or Scala
• Experience with data modeling schema design and optimization
• Knowledge of best practices for data governance and data quality
• Ability to work in a fastpaced dynamic environment with tight deadlines
• Excellent problemsolving and analytical skills
• Strong communication and collaboration abilities

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