As a Product Owner / Developer, you will play a dual role defining business and product requirements while contributing directly to the technical delivery. Youll partner with collaborators across engineering, data, and business teams to translate goals into actionable roadmaps and measurable results.
Key Responsibilities:
Gather and define requirements aligned with strategic business goals and customer value.
Help the team leaders maintain and prioritize the product backlog, ensuring clarity, transparency, and focus on impact.
Collaborate with engineering teams to design and build scalable data and automation solutions (50%+ of the time)
Contribute to development, testing, and deployment of modern data pipelines using Apache Airflow, Apache Spark, and AWS cloud services (ECS, Lambda, Glue, S3).
Balance short-term delivery objectives with long-term technical vision.
Track and communicate key performance metrics that demonstrate business outcomes.
Who You Are
You are both a strategic problem solver and a technical contributor who thrives in complex, data-driven environments. You bring a strong business approach and a passion for translating strategy into working systems that scale.
You excel at:
Collaborating across teams and simplifying complex needs into executable plans.
Combining a product-centric focus with hands-on technical ownership.
Working iteratively and pragmatically toward measurable business outcomes.
Requirements: Minimum Qualifications
5+ years of professional experience in software engineering, data engineering, or product ownership roles.
Strong development experience with Python or Golang (both advantage).
Demonstrated ability to translate business requirements into technical roadmaps and deliverables.
Experience working in Agile/Scrum environments and managing product backlogs.
Experience with orchestration and containerization (Kubernetes, Docker).
Familiarity with Linux and cloud infrastructure (especially AWS).
Preferred Qualifications
Bachelors or masters degree in computer science, Engineering, or related field.
Familiarity with data warehousing and modern data stack technologies.
Proven hands-on experience with Apache Airflow, and Apache Spark.
Knowledge of message queues and real-time systems (RabbitMQ, Redis, Kinesis).
Knowledge of DevOps and CI/CD tools.
Strong stakeholder management and communication skills.
Ability to balance technical depth with strategic vision.
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