Qualifications
We are seeking candidates with a strong background in data engineering, particularly with experience in Azure Databricks. Proficiency in designing data pipelines, familiarity with Delta Lake, and understanding of CI/CD processes are essential. Candidates should have excellent problem-solving skills, the ability to work collaboratively in a remote setting, and a proactive approach to implementing best practices in data governance and security.
About the job
Jobgether is excited to present a fantastic opportunity for a Senior Databricks Data Engineer on behalf of a partner company. This position is based in India.
As a Senior Databricks Data Engineer, you will be responsible for designing, constructing, and optimizing enterprise-level data pipelines utilizing Azure Databricks. Your expertise will support the processing of structured, semi-structured, and unstructured data. Collaboration is key in this role, as you will engage closely with data architects, security teams, and business stakeholders to implement optimal data governance and security practices while ensuring high-performance data processing. Your hands-on experience with Delta Lake architectures, CI/CD pipelines, and orchestrated workflows will play a crucial role in delivering reliable and scalable data products. Working in a fully remote, collaborative environment, you will have the chance to significantly impact the overarching data platform strategy while tackling complex technical challenges. Your contributions will empower analytics, reporting, and AI initiatives across the organization, blending technical depth, architectural insight, and operational excellence for significant growth potential in cloud data engineering.