Description

You will design, build, and manage real-time data pipelines and analytical solutions within a cloud ecosystem.

Responsibilities

• Design and build real-time data pipelines and analytical solutions using Azure and Snowflake.
• Migrate data warehousing workloads from on-premises environments to the cloud.
• Implement Data Lake and Big Data projects using Azure and Snowflake.
• Develop, maintain, and distribute modularized code following standardized best practices.
• Apply Agile methodologies to streamline delivery and implementation processes.

Required Skills

• 9+ years of experience in a Data Engineer role.
• Strong hands-on experience with Python.
• 4+ years of experience with Azure, Snowflake, and Spark (preferably PySpark).
• Deep expertise in Data Warehousing and Database concepts.
• Advanced SQL and PL/SQL skills.
• Experience implementing Data Lake and Big Data projects in the cloud.
• Bachelor's degree in Computer Science.
• Basic understanding of Unix shell scripting and the Unix OS platform.

Preferred Skills

• Experience with Databricks, Kafka, or visualization tools like Tableau and Power BI.
• Experience working within the Financial Domain.

Key Skills

Education

Bachelor's degree in Computer Science