GCP Data Engineer

4 years

4 - 6 Lacs

Posted:4 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

  • 4+ years of industry experience in the field of Data Engineering.

  • Proficient in Google Cloud Platform (GCP) services such as Dataflow, BigQuery, Cloud Storage and Pub/Sub.
  • 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.
  • Software engineering experience in optimizing data pipelines to improve performance and reliability.
  • Continuously optimize data pipeline efficiency and reduce operational costs and reduce number of issues/failures
  • Automate repetitive tasks in data processing and management
  • Experience in monitoring and alerting for Data Pipelines.
  • Continuously improve data pipeline reliability through analysis and testing
  • Perform SLA-oriented monitoring for critical pipelines and provide suggestions as well implement post business approval for SLA adherence if needed.
  • Monitor performance and reliability of GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs.
  • Maintain infrastructure reliability for GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs.
  • Conduct post-incident reviews and implement improvements for data pipelines.
  • Develop and maintain documentation for data pipeline systems and processes.
  • Excellent communication and documentation skills.
  • Strong problem-solving and analytical skills.
  • Open to work in a 24X7 shift.

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