Big Data Engineer: Cloud Innovator
1 month ago
**Job Description for Senior Databricks Engineer**
We are seeking a highly skilled Senior Databricks Engineer to join our team at IT Source Global. As a key member of our data engineering team, you will be responsible for designing and developing big data pipelines and ETL/ELT workflows using Databricks and Azure Data Factory (ADF).
**Key Responsibilities**
- Collaborate with data architects to design and implement data lakes, data warehouses, and data marts on Azure.
- Develop scalable, high-performance data processing and transformation pipelines using Apache Spark within Databricks.
- Create, schedule, and orchestrate data workflows and pipelines in Azure Data Factory to automate and optimize data movement and transformation processes.
- Build data integration solutions between on-premise and cloud systems, ensuring the secure transfer and transformation of data.
- Optimize data pipelines for performance, ensuring low-latency, fault tolerance, and scalability.
- Implement data quality and governance standards, ensuring data accuracy, consistency, and compliance with organizational policies.
- Collaborate with data scientists and analytics teams to provision and prepare data for advanced analytics, machine learning, and reporting needs.
**Requirements**
- 5+ years of experience in designing and developing big data pipelines and ETL/ELT workflows using Databricks and Azure Data Factory (ADF).
- Strong expertise in Apache Spark and Azure cloud services.
- Excellent communication and collaboration skills.
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