CyberX Info System · 5 hours ago
Senior Azure Data Engineer with Databricks Expertise and Strong MDM
CyberX Info System is seeking a highly skilled Azure Data Engineer with strong expertise in Databricks to join their data team. The ideal candidate will design, implement and optimize large-scale data pipelines while collaborating with multiple teams to deliver cutting-edge data solutions.
Responsibilities
Build and maintain scalable ETL/ELT pipelines using Databricks
Leverage PySpark/Spark and SQL to transform and process large datasets
Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems
Work Closely with multiple teams to prepare data for dashboard and BI Tools
Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions
Optimize Databricks workloads for cost efficiency and performance
Monitor and troubleshoot data pipelines to ensure reliability and accuracy
Implement and manage data security, access controls and governance standards using Unity Catalog
Ensure compliance with organizational and regulatory data policies
Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments
Manage version control for Databricks artifacts and collaborate with team to maintain development best practices
Qualification
Required
Experience – 12-15 Years
Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
Proficiency in Azure Cloud Services
Solid Understanding of Spark and PySpark for big data processing
Experience in relational databases
Knowledge on Databricks Asset Bundles and GitLab
Preferred
Familiarity with Databricks Runtimes and advanced configurations
Knowledge of streaming frameworks like Spark Streaming
Experience in developing real-time data solutions
Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification