Description

You will design, build, and operationalize large-scale enterprise data solutions on Google Cloud Platform.

Responsibilities

• Design and build data pipelines from ingestion to consumption within hybrid big data architectures.
• Re-platform on-premises data warehouses to Google Cloud Platform using native and third-party services.
• Integrate data from multiple disparate sources into unified platforms.
• Analyze and process real-time streaming data using Dataflow, Pub/Sub, or Kafka.
• Troubleshoot and resolve complex data engineering and architectural issues.

Required Skills

• 5+ years of experience in big data engineering.
• Hands-on experience with Google Cloud Platform services including BigQuery, Cloud Spanner, and Bigtable.
• Proficiency in Java, Python, and SQL.
• Experience with Google Dataflow and real-time streaming via Pub/Sub or Kafka.
• Practical knowledge of Hadoop, Spark, and Kafka.
• Experience working with AWS and Unix Shell Scripts.
• Ability to manage relational data and high-volume key-value pair storage.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate