Senior Data Engineer- GCP

Role Overview: As a Data Engineer specializing in Google Cloud Platform (GCP), you will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support data analytics and machine learning projects. Your expertise in GCP will be crucial in ensuring efficient data processing and storage. Key Responsibilities: - Design and implement scalable data pipelines using GCP services such as BigQuery, Dataflow, and Pub/Sub - Collaborate with data scientists and analysts to understand data requirements and optimize data processing workflows - Monitor and troubleshoot data pipelines to ensure data quality and reliability - Implement security best practices to protect sensitive data and comply with data privacy regulations - Stay updated with the latest GCP technologies and trends to recommend improvements in data engineering processes Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or related field - Minimum of 5 years of experience in data engineering with a focus on Google Cloud Platform - Proficiency in SQL and one or more programming languages such as Python, Java, or Scala - Experience working with big data technologies like Hadoop, Spark, or Kafka - Google Cloud certification (e.g., Professional Data Engineer) is a plus About the Company: Unfortunately, no additional information about the company was provided in the job description. Role Overview: As a Data Engineer specializing in Google Cloud Platform (GCP), you will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support data analytics and machine learning projects. Your expertise in GCP will be crucial in ensuring efficient data processing and storage. Key Responsibilities: - Design and implement scalable data pipelines using GCP services such as BigQuery, Dataflow, and Pub/Sub - Collaborate with data scientists and analysts to understand data requirements and optimize data processing workflows - Monitor and troubleshoot data pipelines to ensure data quality and reliability - Implement security best practices to protect sensitive data and comply with data privacy regulations - Stay updated with the latest GCP technologies and trends to recommend improvements in data engineering processes Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or related field - Minimum of 5 years of experience in data engineering with a focus on Google Cloud Platform - Proficiency in SQL and one or more programming languages such as Python, Java, or Scala - Experience working with big data technologies like Hadoop, Spark, or Kafka - Google Cloud certification (e.g., Professional Data Engineer) is a plus About the Company: Unfortunately, no additional information about the company was provided in the job description.