Lead Data Engineer
Prashant ShahUnited StatesLEADPosted 2h ago
Azure Data FactoryAzure DatabricksPySparkSQLScalaApache AirflowKafkaAzure Key VaultAzure MonitorADLS Gen2Delta LakeUnity CatalogAzure SynapseEvent HubsAzure DevOpsGitHub ActionsTerraform
About the Role
We are seeking a Lead Data Engineer to join our team for a 12-month contract. This role involves designing and developing scalable data pipelines using Azure technologies.
Key Responsibilities
• Design and develop scalable batch and streaming data pipelines
• Build data ingestion and transformation workflows using Azure Databricks and ADF
• Optimize Spark jobs and troubleshoot performance issues
• Work with ADLS Gen2, Delta Lake, Unity Catalog, Azure Synapse, and Event Hubs
• Implement CI/CD pipelines using Azure DevOps or GitHub Actions
• Automate infrastructure provisioning using Terraform
• Ensure data quality, security, monitoring, and governance
Requirements
• 8+ years of experience in data engineering
• Strong experience with Azure Data Factory and Azure Databricks
• Proficiency in PySpark and SQL
• Experience with CI/CD pipelines and infrastructure automation
Preferred Skills
• Scala, Apache Airflow, Kafka, Azure Key Vault, and Azure Monitor