Job description
We are representing a leading force in the decentralized exchange (DEX). We are seeking a seasoned Data Engineer to spearhead the development of robust data architectures. In this role, you will be responsible for the end-to-end lifecycle of data, from ingestion to insight, ensuring our infrastructure is both high-performing and scalable to meet the demands of a fast-paced business environment.
Key Responsibilities**
Design & Architecture:** Architect, build, and maintain scalable data pipelines and sophisticated ETL processes to support complex data ecosystems.
Infrastructure Optimization:** Enhance data warehouse performance and implement rigorous data quality frameworks to ensure "single source of truth" reliability.
Strategic Partnership:** Collaborate closely with Product, Engineering, and Go-to-Market teams to translate business requirements into actionable data solutions.
Operational Excellence:** Develop automated monitoring systems to proactively identify and resolve pipeline bottlenecks.
Agile Response:** Execute high-priority, ad-hoc data requests and critical analyses with speed and precision to support urgent stakeholder decision-making.
Required Qualifications & Skills**
Professional Experience:** Minimum of 7+ years in dedicated Data Engineering roles, ideally within a high-growth environment.
Advanced Data Modeling:** Deep expertise in data architecture, warehouse design (e.g., Star/Snowflake schemas), and modern ETL/ELT best practices.
Technical Stack:** Mastery of the modern data stack, including Snowflake**, Airflow**, and dbt**.
Cloud & Infrastructure:** Strong proficiency with AWS** services and experience managing distributed systems.
Stream Processing:** Hands-on experience with data streaming technologies such as Kafka** or Kinesis** to optimize large-scale workflows.
Problem Solving:** A proven ability to navigate ambiguity and deliver high-quality solutions under tight deadlines.