Databricks Engineer

📋 Description Design, implement, and optimize big data pipelines in Databricks. Develop scalable ETL workflows to process large datasets. Leverage Apache Spark for distributed data processing and real-time analytics. Implement data governance, security policies, and compliance standards. Optimize data lakehouse architectures for performance and cost-efficiency. Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows. 🎯 Requirements Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 3+ years of hands-on experience with Databricks and Apache Spark. Proficiency in SQL, Python, or Scala for data processing and analysis. Experience with cloud platforms (AWS, Azure, or GCP) for data engineering. Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture. Experience with CI/CD tools and DevOps best practices. 🎁 Benefits Competitive salary and strong insurance package. Extensive learning and development resources.