Gcp Data pipeline Support Engineer

Role & responsibilities

• As a GCP Data Pipeline Support Engineer, you will be responsible for managing, maintaining, and troubleshooting GCP data pipelines. The ideal candidate will have extensive experience in cloud data engineering, with in-depth knowledge of Google Cloud Platform services and data pipeline architecture.
  Required skills:
  
• 3+ years of industry experience in the field of Data Engineering support and enhancement
• Proficient in Google Cloud Platform (GCP) services such as Dataflow, BigQuery, Cloud Storage, Pub/Sub, and Data Fusion.
• Strong understanding of data pipeline architectures and ETL processes.
• Experience with Python programming language in terms of data processing.
• Knowledge of SQL and experience with relational databases.
• Familiarity with version control systems like Git.
• Ability to analyze, troubleshoot, and resolve complex data pipeline issues.
• Experience in monitoring and alerting for Data Pipelines using Stackdriver.
• Perform SLA-oriented monitoring for critical pipelines and provide suggestions for SLA adherence if needed.
• Excellent communication and documentation skills.
• Strong problem-solving and analytical skills.
• Open to work in a 24X7 shift.
• Qualifications
  
• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• Holding GCP Professional Data Engineer certification is an added advantage.
• Excellent verbal and written communication skills.