At a Glance
- Tasks: Design and optimise high-volume data pipelines using Python, Databricks, and Spark.
- Company: Numerator, a leader in data engineering with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on improving delivery quality and automation.
- Why this job: Join a dynamic team and work on cutting-edge AI/ML projects that make an impact.
- Qualifications: Experience in enterprise data environments and strong DevOps skills required.
Numerator is seeking a Senior Data Engineer to design, build, and optimize high-volume data pipelines using Python, Databricks on Azure, and modern DevOps practices. The role emphasizes AI/ML awareness and big data processing with Spark/PySpark.
You will collaborate with analysts and data teams to meet sprint goals while improving test automation and delivery quality. Remote work from India is supported; prior experience in enterprise data environments and a strong DevOps background will help
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Remote Senior Data Engineer - Python, Spark & Azure employer: Numerator / Market Track, LLC
Numerator / Market Track, LLC is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for innovative minds looking to thrive in the tech industry. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others while working remotely from India. The company's commitment to cutting-edge technology and collaborative practices ensures that you will be at the forefront of cloud-native application development, making a meaningful impact in your role.
Contact Details:
Numerator / Market Track, LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer - Python, Spark & Azure
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We think you need these skills to ace Remote Senior Data Engineer - Python, Spark & Azure
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Numerator / Market Track, LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
