Description

You will lead data engineering initiatives and end-to-end delivery within an Agile environment.

This role is on-site.

Responsibilities

• Own the design and implementation of data ingestion and processing frameworks.
• Perform coding, debugging, and performance tuning for data applications.
• Deploy applications directly to production environments.
• Manage data modeling, ETL processes, and data warehousing architectures.
• Apply data governance and security practices across all pipelines.

Required Skills

• 14+ years of relevant professional experience.
• 10+ years of experience in Data Engineering and delivery.
• 10+ years of experience working with Big Data concepts.
• Advanced proficiency in SQL, Python, and PySpark.
• Extensive experience with Snowflake and Databricks.
• Proven track record with Azure cloud implementations.
• Strong expertise in Data Modeling and Data Warehousing.
• Bachelor's degree in Computer Science or an equivalent qualification.

Key Skills

Education

Any Graduate