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
