This is a remote position.
We are seeking a Senior Big Data Engineer (Ruby and Spark) to join our team.
Responsibilities:
- System Development: Build maintain and scale components of marketing technology stack including tracking systems attribution frameworks and integrations with tools like Iterable.
- Automation: Develop tools and frameworks to automate campaign execution reporting and optimization for marketing operations.
- Landing Page Platform: Architect and implement a solution for creating dynamic customizable landing pages with integrated tracking and analytics.
- Collaboration: Partner with marketing data and product teams to define technical solutions that align with business goals and enhance customer experiences.
- Performance Optimization: Ensure high performance scalability and reliability of the marketing platform.
- Data Insights: Design and maintain data pipelines for actionable insights enabling marketing teams to make datainformed decisions.
Requirements
- 6 years of professional software development experience.
- Strong proficiency in Ruby on Rails Spark and data engineering frameworks.
- Proven success delivering scalable complex software solutions in marketing data or analytics environments.
- Expertise in API development ETL processes and data pipelines.
- Familiarity with marketing technology stacks (e.g. Iterable).
- Experience with data warehousing and analytics tools.
- Proficiency in SQL and familiarity with database concepts for data manipulation and segmentation.
- Strong analytical skills to interpret data and generate actionable insights.
- English Level: UpperIntermediate English or higher.
Will be a strong plus:
- Experience in Growth Engineering domains like SEO subscriptions or signup optimization.
- Familiarity with modern frontend frameworks (e.g. React Next.js).
- Knowledge of machine learning applications for customer segmentation or campaign optimization
Tech Stack:
- Ruby on Rails
- Spark
- Data engineering frameworks
Benefits
- Work Location: Remote
- 5 days working
6+ years of professional software development experience. Strong proficiency in Ruby on Rails, Spark, and data engineering frameworks. Proven success delivering scalable, complex software solutions in marketing, data, or analytics environments. Expertise in API development, ETL processes, and data pipelines. Familiarity with marketing technology stacks (e.g., Iterable). Experience with data warehousing and analytics tools. Proficiency in SQL and familiarity with database concepts for data manipulation and segmentation. Strong analytical skills to interpret data and generate actionable insights. English Level: Upper-Intermediate English or higher.