Description

You will expand and optimize the data and data pipeline architecture while optimizing data flow and collection for cross-functional teams.

Responsibilities

• Design and implement internal process improvements, including automating manual processes and re-designing infrastructure for scalability.
• Build infrastructure for extracting, transforming, and loading data from diverse sources using SQL and AWS big data technologies.
• Develop analytics tools that use the data pipeline to provide insights into customer acquisition and operational efficiency.
• Maintain data separation and security across national boundaries using multiple data centers and AWS regions.
• Create data tools to assist analytics and data science teams in optimizing products.

Required Skills

• 5+ years of experience in a Data Engineer role.
• Advanced working SQL knowledge and experience with relational databases and query authoring.
• Experience building and optimizing big data data pipelines, architectures, and datasets.
• Experience with data pipeline architecture, SQL, and AWS.
• Proven ability to manipulate, process, and extract value from large, disconnected datasets.
• Experience performing root cause analysis on data and processes to answer business questions.
• Experience supporting cross-functional teams.

Key Skills

Education

Any Graduate