Data Infrastructure Engineer
3 weeks ago
We're looking for a talented Data Engineer to help us build and maintain our large-scale distributed data systems. As a member of our team, you'll play a crucial role in driving our organization's data infrastructure forward.
Your primary responsibilities will include designing, building, and supporting our data pipelines, optimizing data storage and retrieval processes, and ensuring the reliability and scalability of our data architecture.
Key Responsibilities:
- Developing data pipelines using open source and public cloud technologies.
- Optimizing data storage and retrieval processes to improve system performance.
- Maintaining and troubleshooting large-scale distributed data systems.
- Collaborating with cross-functional teams to understand data requirements and implement solutions.
Requirements:
- BSc in Computer Science or related discipline.
- 5+ years experience designing and building robust, scalable, distributed data systems and pipelines.
- Strong experience with data orchestration tools such as Apache Airflow or Dagster.
- Experience with one or more big data storage and processing technologies including DBT, Spark, SQL, or Athena/Trino.
- Knowledge of event-driven architectures and streaming technologies.
- Experience with public cloud environments including AWS, GCP, or Azure.
- Strong knowledge of software engineering practices including testing, CI/CD, agile development, git/version control, or containers.
- Strong technical leadership, problem-solving skills, and analytical thinking.
- Excellent communication and collaboration skills, and the ability to work effectively with cross-functional teams.
- Passion for staying up to date with emerging data engineering technologies and trends.
Estimated Salary: $145,000 - $185,000 per year
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