Haystack
Linkedin · Posted yesterday
Data Engineer
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Indexed description
We're working with a leading talent solutions provider that leverages cutting-edge technology to connect top talent with innovative companies across various industries. They are renowned for their ability to streamline the recruitment process and deliver exceptional talent.
The Role
- Design, build, and maintain scalable data pipelines and systems
- Partner with cross-functional teams to understand data needs and implement solutions
- Contribute to technical design and ensure data quality
- Develop and maintain batch and streaming data pipelines using modern tools and frameworks
- Design and implement scalable and maintainable data models and storage solutions
- Support the deployment, scheduling, and monitoring of data pipelines and workflows
- 2-5 years of experience in data engineering, data modeling, and ETL pipelines
- Proficient in SQL and Python for creating, improving, and fixing data pipelines
- Experience with cloud and data platforms, especially Azure and Databricks
- Strong understanding of tools like SnapLogic, Azure Data Factory, and Jenkins
- Practical experience with Terraform for infrastructure as code
- Proficient in version control and CI/CD workflows, using tools like GitHub
- Opportunity to work on innovative data solutions
- Collaborative and agile team environment
- Chance to contribute to significant technical designs
- Remote work flexibility
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