Description

You will design and implement data pipelines and architectures within the Google Cloud Platform ecosystem.

Responsibilities

  • Build and maintain ETL processes and distributed architectures for big data workloads.
  • Design data mapping and modeling frameworks for structured and unstructured data sources.
  • Manage data warehousing and business intelligence modeling requirements.
  • Develop scalable data solutions using both batch and streaming services.

Required Skills

  • 8+ years of experience in Data Engineering, ETL, and EDW.
  • Expertise in Python development.
  • Hands-on experience with Google Cloud BigQuery.
  • Extensive experience writing SQL across various database systems.
  • Proficiency in one or more: JavaScript, Java, R, UNIX Shell, php, or ruby.
  • Experience with cloud analytics and both structured and unstructured data.
  • Knowledge of data mining, cloud computing, and data management tools.
  • Experience with Hadoop, HDFS, MapR, or Spark.

Preferred Skills

  • Experience with DataProc and DataFlow using Java on GCP.
  • Familiarity with serverless data warehousing and Google Cloud services like Cloud Storage, Cloud Dataflow, DFunc, and Big Table.

Key Skills
Education

Any Graduate

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