- 经验
- 任何
- 薪水
- USD 140,000 – USD 180,000 / year
- 职位空缺
- 1
- 发布
- 4小时前
- 工作模式
- 在家办公
- 恢复
- 需要申请
职位描述
Role Overview
We seek a Data Infrastructure Engineer to join us full-time, dedicated to designing, developing, and preserving robust data pipelines and infrastructure. This position entails collaborating with various teams to deliver dependable data solutions that drive business insights and aid decision-making.
Primary Responsibilities
- Create, enhance, and maintain efficient data pipelines for large dataset extraction, transformation, and loading.
- Build and sustain data warehouses and data lakes supporting both analytical and operational reporting needs.
- Work closely with data scientists and analysts to guarantee data availability and accuracy.
- Oversee performance of data pipelines, resolving any issues to maintain reliability and optimal operation.
- Document data architecture designs, workflows, and standards to facilitate team use and regulatory compliance.
Required Qualifications
- Strong command of SQL along with experience in relational and NoSQL database technologies.
- Experience utilizing ETL/ELT tools such as Apache Airflow, Apache Spark, or similar frameworks.
- Understanding of data modeling concepts and data warehouse design methodologies.
- Familiarity with cloud-based platforms including AWS, Google Cloud Platform, or Microsoft Azure for managing data infrastructure.
- Excellent analytical and problem-solving abilities focusing on scalability and system performance.
About the Opportunity
This position provides an excellent chance to contribute to a global leader in software development. You will play a crucial role in advancing data-driven solutions aimed at enhancing customer experiences, all while being part of a team that prizes technical excellence and innovative data engineering practices.
Equal Opportunity Employment
The hiring process is skill and merit-based, embracing diversity and inclusivity. All candidates with the appropriate qualifications and expertise are encouraged to apply, regardless of background or previous job experience.