Lead Data Engineer
Prakhar ShrivastavaaUnited StatesLEADPosted 47m ago
DatabricksPySparkSpark SQLDelta LakeETLELTData WarehousingLakehouse ArchitectureUnity CatalogDLTLakeflowDatabricks WorkflowsSQLPythonAzureAWSGCPPower BIDAXData ModelingData GovernancePerformance TuningKafkaSnowflakeMicrosoft Fabric
About the Role
We are looking for an experienced Lead Data Engineer with strong hands-on expertise in Databricks to design and build scalable enterprise data platforms.
Key Responsibilities
• Design and build scalable enterprise data platforms
• Develop and maintain ETL/ELT pipelines
• Implement Lakehouse Architecture
• Utilize Databricks Workflows and Unity Catalog
• Perform Data Modeling and Performance Tuning
Requirements
• 3–4+ years of Databricks experience
• Strong hands-on experience with PySpark, Spark SQL & Delta Lake
• Expertise in ETL/ELT pipelines and Data Warehousing
• Knowledge of Lakehouse Architecture (Medallion – Bronze, Silver, Gold)
• Experience with Unity Catalog, DLT/Lakeflow, Databricks Workflows
• Advanced SQL and Python skills
• Experience with Azure, AWS, or GCP
• Strong Power BI experience (DAX, Data Modeling)
• Understanding of Data Governance and CI/CD
Benefits
• Opportunity to work with cutting-edge data technologies
• Remote work flexibility
• Collaborative and innovative work environment