Description

You build and maintain scalable data solutions in the cloud.

This role is hybrid.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure and Snowflake.
• Implement data ingestion, transformation, and integration processes.
• Write efficient, reusable code in Python or Java for data processing and automation.
• Collaborate with teams to deliver end-to-end data solutions.
• Ensure data quality, reliability, and security across data systems.

Required Skills

• 3–7 years of hands-on experience as a Data Engineer.
• Strong expertise in Azure Cloud and Snowflake.
• Proficiency in Python or Java programming.
• Solid understanding of ETL/ELT pipelines, data warehousing, and data modeling.
• Experience with Data Engineering concepts.
• Familiarity with CI/CD Pipelines and DevOps Practices.
• Proficiency in SQL.
• Experience with PySpark.

Preferred Skills

• Experience with Azure Databricks and Azure Data Lake Storage (ADLS).
• Knowledge of Git and Azure DevOps.

Key Skills

Education

Bachelor's degree