Data Engineer

Data Engineer: Experience: 7 - 11 years (but need expert Engineers):

• Strong hands-on Databricks experience is mandatory, with expertise in designing and implementing enterprise-scale data engineering solutions.
• Strong experience in Databricks architecture, Delta Lake, Unity Catalog, Workflows/Jobs, performance optimisation, and data governance.
• Ability to assess existing implementations and proactively propose Databricks-based solutions, improvements, accelerators, and best practices.
• Provide technical recommendations around Databricks architecture, performance, scalability, cost optimisation, security, and governance.
• Strong understanding of Data Engineering, Data Warehousing, ETL/ELT concepts, SQL, databases, and data modelling.
• Ability to perform technical design and solution discussions with customer architects, engineering teams, and business stakeholders.
• Expected to demonstrate technical thought leadership, challenge existing approaches where required, and recommend better solutions rather than only implementing provided requirements.
• Excellent communication, presentation, and stakeholder management skills.
• Experience working directly with customers and senior stakeholders.
• Experience working in Agile/Scrum delivery environments.
• Comfortable working in a fast-paced, high-pressure delivery environment, managing priorities while maintaining engineering quality.
• Databricks certification is mandatory.
• Advanced Databricks certifications and relevant Cloud certifications would be an added advantage.