Data Engineer
3 weeks ago
At OKRA, we're on a mission to revolutionize healthcare using Artificial Intelligence. As a Data Engineer, you'll play a crucial role in helping us achieve this goal.
Key Responsibilities- Design, develop, and maintain scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of data.
- Optimize and tune existing data infrastructure for performance, reliability, and scalability.
- Find, extract, and validate valuable data from publicly available and proprietary data sources to extend internal data sources.
- Implement data governance and security measures to ensure the integrity and confidentiality of sensitive information.
- Develop and maintain a long-term vision for key components of our data infrastructure, ensuring scalability, reliability, and performance.
- Work with cloud platforms to deploy and manage data solutions.
- Collaborate with cross-functional teams to understand business needs and provide data engineering support for various projects.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to data workflows.
- Stay current with industry trends and emerging technologies in data engineering and analytics to provide input during planning discussions.
- Proven experience as a Data Engineer, with a strong portfolio of data-related projects.
- Proficiency in modern Python programming, ideally Python 3.
- Solid understanding of data modelling, database design, and ETL processes.
- Proficiency in SQL and experience with both relational and NoSQL databases.
- Familiarity with data warehousing solutions and technologies.
- Familiarity with cloud data processing and compute services.
- Experience with data processing libraries like Pandas, NumPy, or Dask.
- Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks is appreciated but optional.
We're looking for a talented Data Engineer to join our team and help us drive innovation in healthcare. If you're passionate about AI and data engineering, we'd love to hear from you.
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