Description

You will design, build, and optimize data pipelines and infrastructure to support cross-functional analytics and product teams.

This role is remote.

Responsibilities

• Design and implement internal process improvements, including automating manual workflows and redesigning infrastructure for scalability.
• Build data extraction, transformation, and loading (ETL) infrastructure using SQL and AWS big data technologies.
• Develop analytics tools that leverage data pipelines to provide insights into customer acquisition and operational efficiency.
• Manage 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 SQL knowledge and experience with relational databases and query authoring.
• Experience building and optimizing big data pipelines, architectures, and datasets.
• 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