Description

You will design, build, and optimize scalable data pipelines and platforms.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load large-scale data from multiple sources.
• Develop and optimize data processing workflows in Azure Databricks using Scala or PySpark.
• Build and manage data warehouses and data marts using Snowflake.
• Write and optimize complex SQL queries for data analysis, transformation, and reporting.
• Implement data quality, validation, and monitoring processes to ensure accuracy and reliability.

Required Skills

• 15+ years of professional experience in data engineering.
• Expertise in ETL Development.
• Proficiency with Azure Databricks.
• Strong command of Snowflake.
• Solid skills in Scala and SQL.
• Experience implementing CI/CD for data workflows.
• Familiarity with supporting Data Analysts and Data Scientists.
• Knowledge of Data Analysis principles.

Key Skills

Education

Bachelor's degree