Technical Skills
- 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.
- Must be able to write SQL queries, functions, procedures…etc. to achieve the hypothesis.
- Must be mindful of the performance and other aspects of the solution presented to your team.
- Implement and maintain database code in the form of tables, scripts, queries, views, triggers, etc.
Process Skills
Must know end-to-end data engineering pipeline development, capturing business requirements, ensuring data quality, and ongoing maintenance of pipelines.
Behavioral Skills
Good communication skills in English; Collaborative team player; Self-starter; Excellent documentation and presentation skills; Continuous learner and advocate for Databricks usage; Experience working in an Agile Team (GitHub, Jira, MS Teams is used).
Certification
Any relevant AWS and / or Databricks certifications.
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