Amorosia Ventures is a growing, innovation-focused organization that leverages data and technology to drive informed decision-making and long-term value. As a Data Engineer, you will design, build, and maintain reliable data pipelines and infrastructure to support analytics and product initiatives, collaborating with various teams to ensure data quality and scalability.

Responsibilities:

Design, build, and maintain reliable data pipelines and infrastructure that support core analytics and product initiatives
Develop and optimize Extract Transform Load (ETL) processes
Integrate data from multiple sources and ensure data quality, consistency, and security across environments
Collaborate closely with data analysts, data scientists, and software engineers to model data for reporting and product use cases
Support scalable data warehousing solutions
Write efficient, well-documented code, monitor pipeline performance, troubleshoot issues, and contribute to continuous improvements in data architecture and tooling
Help define best practices, participate in code reviews, and contribute to technical documentation for data systems

Requirements:

Strong Data Engineering skills, including building and maintaining data pipelines, working with large datasets, and implementing robust data workflows
Proficiency in Data Modeling and Data Warehousing concepts, including designing schemas for analytics and scalable storage solutions
Hands-on experience with Extract Transform Load (ETL) tools and frameworks to integrate, transform, and load data from diverse systems
Familiarity with Data Analytics concepts and collaboration with analytics teams to support reporting, dashboards, and data-informed decisions
Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java)
Experience with cloud data platforms (such as AWS, Azure, or GCP) and modern data stack tools is highly beneficial
Knowledge of data quality, data governance, and security best practices
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience
Strong problem-solving skills, attention to detail, and the ability to work independently and effectively in a remote, collaborative environment

Amorosia Ventures

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Engineering

Data Engineer