Data Engineer
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Summary
Senior data engineer (7-11 years) designing enterprise-scale data platforms on Databricks — Delta Lake, Unity Catalog, Workflows/Jobs, performance tuning and governance — while advising customers on architecture, scalability and best practices. Databricks certification is mandatory; role is based in Maharashtra, India.
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.