Description

You will design and manage large-scale data architectures and ETL processes.

Responsibilities

• Develop and deploy ETL pipelines using Databricks and PySpark.
• Design and implement data models using OLTP, OLAP, dimensions, and facts.
• Lead enterprise-wide migrations to cloud data platforms.
• Architect cloud-based data systems involving messaging and analytics.
• Manage large datasets through SQL Server-based development.

Required Skills

• 5+ years of Python coding experience.
• 5+ years of SQL Server development for large datasets.
• 5+ years of experience with Databricks and PySpark ETL pipelines.
• Experience with cloud data warehouses such as Synapse, BigQuery, Redshift, or Snowflake.
• Strong architectural and design skills for cloud data migrations.
• Expertise in data warehousing concepts, including OLTP, OLAP, dimensions, and facts.
• Bachelor’s degree in engineering or computer science.
• Cloud certifications.

Preferred Skills

• Master’s degree in a technical discipline.
• Experience with Airflow.

Key Skills

Education

Any Graduate