Enterprise Data Engineer

2 weeks ago

Noida, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,04,000 - ₹ 1,30,878

At the heart of digital security, we empower organizations to architect solutions that safeguard identity and data. With over 30,000 partnerships, our cutting-edge technologies enable banks to exchange funds, people to cross borders, and energy to become smarter.

We are currently seeking a skilled professional to join our team as a Data Engineer. In this role, you will design, build, and maintain scalable data pipelines on Databricks for machine learning workflows.

About the Role
  • Design and implement efficient data processing workflows using Spark and Delta Lake.
  • Develop, train, and fine-tune machine learning models to meet business objectives.
  • Deploy models to production environments and integrate them into real-time or batch systems.
Key Responsibilities
  1. Data Engineering: Design, build, and maintain scalable data pipelines on Databricks for machine learning workflows.
  2. Model Development & Deployment: Develop, train, and fine-tune machine learning models like Cross-sell, classification and segmentation to meet business objectives.
  3. Model Productionization: Deploy models to production environments and integrate them into real-time or batch systems.
Requirements
  • 3+ years of experience in data engineering and machine learning roles, with expertise in Databricks.
  • Strong experience with Databricks, PySpark, SQL, MLflow, Model Registry, and Apache Spark.
  • Proficiency in Python for data processing and machine learning.
  • Hands-on experience with deploying and managing models in production.
Benefits

We offer a competitive salary package, comprehensive benefits, and opportunities for career growth and development. Our mobility policy enables employees to work across various locations and projects, fostering a dynamic and inclusive work environment.

We believe in promoting a culture of innovation, collaboration, and continuous learning. If you are passionate about data engineering and machine learning, we encourage you to apply for this exciting opportunity.

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