Senior Data Engineer

Key Responsibilities :

Design and develop data engineering pipelines to extract, transform, and load (ETL) data from various sources.

Collaborate with cross-functional teams to ensure seamless integration with existing infrastructure and systems.

Develop and maintain high-quality database code using SQL and other languages.

Implement and optimize data processing workflows for efficient performance.

Work with customers to understand their data requirements and provide solutions that meet their needs.

Stay up-to-date with industry trends and advancements in data engineering and related technologies.

• 5+ years of experience in data engineering architecture, data governance, and data processing.
• At least 2 to 3+ years as a Databricks SQL data engineer on AWS for a large / high volume project.
• Experience of supporting Enterprise Databricks deployments especially with regards to usage of SQL Notebooks, Workflows / Jobs, DABs, DLT, Delta / Iceberg, Python, and YAML.
• Experience working with the AWS platform (especially S3) and liaising with other internal infrastructure support teams to achieve together.
• Awareness of working with customer profiles, PII, and GDPR sensitive data.
• Any experience working on CRM-related projects (i.e. Customer360) would be preferred.