Description

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

This role is on-site.

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 Enterprise Data Warehousing (EDW).
• Expertise in Python development.
• Hands-on experience with Google Cloud BigQuery.
• Extensive experience writing SQL across various database systems.
• Proficiency in at least one of the following: 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, Cloud Functions, and Bigtable.

Key Skills

Education

Any Graduate