Senior Databricks Developers

As a Data Engineer, you will be responsible for designing, developing, and optimizing end-to-end data pipelines using Databricks, PySpark, Delta Lake, and Azure components. Your key responsibilities include: - Building new pipelines from scratch and enhancing existing ones for scalability and performance. - Applying ETL design principles, data modeling, and governance standards. - Collaborating in an agile/scrum environment and delivering production-ready code. - Working with Azure services like ADLS, ADF, and Synapse. - Troubleshooting, debugging, and optimizing existing data pipelines. Your technical expertise should include: - 5-8 years of strong experience in Data Engineering with a focus on Databricks and Azure. - Deep understanding of Databricks Lakehouse Architecture, Apache Spark Architecture, and Data Warehousing. - Knowledge of infra provisioning, compute cluster configuration, and workflow management in Databricks. - Proficiency in PySpark, SQL, Delta Lake, and Unity Catalog. - Familiarity with Git, CI/CD, and data governance practices. Additionally, you should possess excellent analytical, problem-solving, and communication skills to excel in this role. As a Data Engineer, you will be responsible for designing, developing, and optimizing end-to-end data pipelines using Databricks, PySpark, Delta Lake, and Azure components. Your key responsibilities include: - Building new pipelines from scratch and enhancing existing ones for scalability and performance. - Applying ETL design principles, data modeling, and governance standards. - Collaborating in an agile/scrum environment and delivering production-ready code. - Working with Azure services like ADLS, ADF, and Synapse. - Troubleshooting, debugging, and optimizing existing data pipelines. Your technical expertise should include: - 5-8 years of strong experience in Data Engineering with a focus on Databricks and Azure. - Deep understanding of Databricks Lakehouse Architecture, Apache Spark Architecture, and Data Warehousing. - Knowledge of infra provisioning, compute cluster configuration, and workflow management in Databricks. - Proficiency in PySpark, SQL, Delta Lake, and Unity Catalog. - Familiarity with Git, CI/CD, and data governance practices. Additionally, you should possess excellent analytical, problem-solving, and communication skills to excel in this role.