Azure Databricks ETL Engineer
Diverse Lynx
Azure Databricks Etl Engineer
We are seeking an experienced Azure Databricks ETL Engineer with strong hands-on expertise in ETL development using Python and SQL to design, build, and optimize scalable data pipelines on Azure Databricks. The role focuses on delivering robust, high-performance data solutions leveraging Azure data ecosystem services for analytics, reporting, and downstream consumption.
Key Responsibilities:
- Design, develop, and maintain ETL ELT pipelines using Azure Databricks
- Build data transformation workflows using PySpark (Python) and SQL
- Ingest data from diverse Azure sources such as Azure Data Lake Storage (ADLS Gen2), Azure SQL, and external systems
- Implement and manage Delta Lake tables with appropriate partitioning and optimization
- Ensure data quality through validation checks, reconciliation, and error handling
- Optimize Spark jobs for performance, scalability, and cost efficiency
- Integrate Databricks pipelines with Azure Data Factory (ADF) or equivalent orchestration tools
- Collaborate with data architects, cloud engineers, and business stakeholders
- Support deployment, monitoring, and troubleshooting of production data pipelines
- Maintain technical documentation for ETL processes and data flows
- Follow Azure cloud security, governance, and compliance best practices
Mandatory Skills Qualifications:
- Azure Databricks
- Strong hands-on experience with Azure Databricks
- Proficiency in PySpark and Spark SQL
- Experience working with Delta Lake (ACID transactions, schema evolution)
- Hands-on experience with Azure Data Lake Storage (ADLS Gen2)
- ETL Data Engineering
- Strong Python scripting skills for ETL development
- Advanced SQL for data transformation and analytics
- Solid understanding of ETL concepts, data warehousing, and data modeling
- Experience processing large-scale, high-volume datasets
- Cloud Platform
- Good understanding of Azure data ecosystem
- Azure Data Factory (ADF)
- Azure SQL Synapse (good to have)
- Azure Key Vault (access secrets security best practices)
Good to Have Preferred:
- Experience with Azure Synapse Analytics
- Exposure to streaming pipelines (Structured Streaming, Event Hub)
- CICD exposure using Azure DevOps
- Experience with monitoring and logging (Azure Monitor, Log Analytics)
- Understanding of data security, RBAC, and Azure governance
- Experience working in Agile Scrum delivery models
Soft Skills:
- Strong analytical and problem-solving abilities
- Good communication and stakeholder coordination skills
- Ability to work independently and within distributed teams
- High ownership, attention to detail, and quality focus
Education:
- Bachelors or Masters degree in Computer Science, Information Technology, or a related field
Vacancy posted 3 hours ago
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