Databricks Lead
Anblicks Solutions
Design and implement end-to-end data architecture using Databricks Lakehouse platform Define data engineering best practices and build scalable ETL/ELT pipelines Architect solutions leveraging Apache Spark (PySpark/Scala) and Databricks workflows Implement Delta Lake for data reliability, performance, and governance Collaborate with stakeholders to understand business requirements and translate them into technical solutions Optimize performance, cost, and scalability of data pipelines Provide technical leadership, mentoring data engineers and developers Ensure data security, governance, and compliance standards are met Integrate Databricks with cloud services (Azure, AWS, or GCP) and other enterprise systems Support real-time and batch data processing use cases Required Skills & Qualifications: Strong hands-on experience with Databricks Platform Expertise in Apache Spark (PySpark / Scala / SQL) Experience with Delta Lake, Unity Catalog, and Lakehouse architecture Proficiency in data pipelines, ETL/ELT frameworks Strong experience in SQL and data modeling Hands-on experience with cloud platforms: #J-18808-Ljbffr
Vacancy posted 4 days ago
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