Responsibilities

• Create and maintain optimal data pipeline architecture
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements:

• Excellent working SQL knowledge and experience working with relational databases.
• Experience with relational SQL and NoSQL databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience with CGP cloud service: GCS, BQ, Google Cloud Dataproc
• Experience with big data tools: Hadoop, Spark, Kafka, etc
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.