Data and Machine Learning Engineer

Job Overview :

We are seeking a passionate Data and Machine Learning Engineer who has a hands-on coding background and a firm grasp of technologies relevant to big data processing. If you possess a deep understanding of architectural patterns, best practices, and non-functional requirements, and have experience in a variety of data-related environments, this role could be perfect for you!

Key Responsibilities :

• Engage with a range of data technologies, focusing on heavy volume data processing.
• Design and implement efficient ETL workflows using Spark and Python.
• Create and deploy machine learning models in production settings.
• Adaptively handle data preprocessing, feature engineering, and model engineering as projects evolve.
• Integrate various data stores, including SQL, NoSQL, in-memory, and data lakes.
• Utilize tools like Kafka for streaming data management.
• Work in cloud-based environments like Databricks to optimize data lake architectures.

Qualifications :

• A minimum of 8-10 years' experience in data engineering or data science roles.
• 5 years of experience with Python and Spark.
• Proven track record of handling large-scale data loads and developing robust data processing pipelines.
• 3 years working with Python deep learning frameworks.
• Experienced in building and deploying ML models.
• Willingness to learn new technologies and innovate in an ever-evolving landscape.

Join us and take ownership of your tasks, while learning and adapting to new challenges in the data ecosystem! Apply today.