Description

You will design, build, and maintain scalable data infrastructure and pipelines on Google Cloud Platform. You own the full lifecycle of data systems, from architecture to monitoring and optimization.

Responsibilities

• Design and secure data infrastructure, including pipelines, databases, and data warehouses on GCP.
• Automate data tasks and develop scripting tools to streamline operations and scale with data volume.
• Monitor data quality and implement alerting systems to proactively resolve issues and minimize downtime.
• Optimize data systems to reduce latency and improve processing performance.
• Collaborate with data scientists and stakeholders to ensure effective data consumption and security compliance.

Required Skills

• 5+ years of experience in data engineering or data science on GCP.
• Proficiency with GCP data services: BigQuery, Dataflow, Data Fusion, Dataproc, Cloud Composer, Pub/Sub, and Google Cloud Storage.
• Strong programming skills in Python (NumPy, Pandas, PySpark), Java (Core Java, Spark with Java, functional interfaces, lambdas, collections), or Scala.
• Experience with GCP data platforms, AWS, and Azure.
• Solid understanding of version control (Git) and CI/CD pipelines.
• Experience with data governance (Dataplex), security, and compliance on GCP.
• Knowledge of logging and monitoring tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, or Splunk.

Preferred Skills

• Experience with containerization and orchestration using Docker and Kubernetes.
• Google Associate Cloud Engineer or Data Engineer certification.
• Knowledge of AI and ML tools.

Key Skills

Education

Any Gradutate