Description:

Seeking a hands-on Data Engineer to build robust foundations for analytics and AI.
Responsible for architecting scalable pipelines for machine learning models and business intelligence within the Databricks ecosystem.

Requirements:

1-4 years of experience in data engineering or related fields.
Solid experience with Databricks, focusing on platform engineering and analytics.
Proficiency in Python, Scala, or Java; strong experience with Databricks APIs, Apache Spark, and Delta Lake.
Experience in data warehousing, ETL processes, and data governance frameworks.
Practical experience supporting AI/ML lifecycles and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
Proven ability to work independently and collaborate effectively with a team.
Excellent interpersonal and communication skills.

Best-in-industry learning and growth opportunities.
Comprehensive health and wellness benefits, including medical insurance for self and family.
Employee rewards program and paid parental leave.
Flexible schedule and remote working benefits.

Skills

Benefits