Description

You will design and implement scalable data solutions and pipelines using distributed computing principles.

Responsibilities

• Build and maintain data pipelines using Databricks, DLT, and PySpark.
• Apply dimensional data modeling techniques, including Star and Snowflake schemas.
• Develop scalable data solutions across cloud platforms like AWS, Azure, or GCP.
• Collaborate with cross-functional teams to deliver reliable data architectures.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in Python, PySpark, Scala, and SQL.
• Deep expertise in Databricks and Delta Live Tables (DLT).
• Strong knowledge of Apache Spark and distributed computing.
• Advanced data modeling skills using Star Schema and Snowflake Schema.
• Hands-on experience with AWS, Azure, or GCP data services.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with containerization using Docker and Kubernetes.
• Knowledge of DevOps practices for automated pipeline deployment and monitoring.

Key Skills

Education

Any Graduate