Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Houston, TX, United States
Posted
22 hours ago
SQLETLAgileApacheApache SparkAzureData PipelineDatabricksKafkaTerraformUnity
Job Description
Position: Databricks Data Engineer with Azure
Location: Houston, TX (4 days hybrid onsite)
Job Summary:
We are looking for an experienced Azure + Databricks Data Engineer to design, develop, and maintain scalable data pipelines and data solutions using Microsoft Azure and Databricks. The ideal candidate should have strong hands-on experience with PySpark, SQL, Azure Data Factory, and Delta Lake.
Key Responsibilities:
Required Skills:
Preferred Skills:
Location: Houston, TX (4 days hybrid onsite)
Job Summary:
We are looking for an experienced Azure + Databricks Data Engineer to design, develop, and maintain scalable data pipelines and data solutions using Microsoft Azure and Databricks. The ideal candidate should have strong hands-on experience with PySpark, SQL, Azure Data Factory, and Delta Lake.
Key Responsibilities:
- Design and develop scalable ETL/ELT data pipelines using Azure and Databricks.
- Build data processing solutions using Databricks, Apache Spark, and PySpark.
- Develop and optimize SQL queries and data transformations.
- Create and manage pipelines using Azure Data Factory (ADF).
- Work with Azure Data Lake Storage (ADLS/ADLS Gen2) for data ingestion and storage.
- Implement data solutions using Delta Lake and Databricks.
- Perform data integration from multiple sources and ensure data quality and reliability.
- Optimize Spark jobs, Databricks notebooks, and data pipelines for performance.
- Work with Unity Catalog for data governance and access management.
- Support deployment and CI/CD processes using Azure DevOps.
- Troubleshoot data pipeline failures and resolve production issues.
- Collaborate with data architects, analysts, developers, and business teams.
Required Skills:
- Strong experience as a Data Engineer with Azure and Databricks.
- Hands-on experience with Databricks, Apache Spark, and PySpark.
- Strong SQL skills.
- Experience with Azure Data Factory (ADF).
- Experience with Azure Data Lake Storage (ADLS/ADLS Gen2).
- Strong understanding of Delta Lake and data lake architecture.
- Experience developing ETL/ELT pipelines.
- Knowledge of Databricks Unity Catalog and data governance.
- Experience with Azure DevOps and CI/CD.
- Good understanding of data modeling, data integration, and data quality.
Preferred Skills:
- Experience with Terraform or Infrastructure as Code.
- Knowledge of Azure Event Hubs/Kafka.
- Experience with Delta Live Tables (DLT).
- Familiarity with cloud security and Azure IAM.
- Experience working in Agile development environments.
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